The application of spectral kurtosis to bearing diagnostics
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Sawalhi N. and Randall R.B. (2004) The Application of

the application of spectral kurtosis to bearing diagnostics

Application of Linear Prediction Self-Adaptive Noise. 26-12-2016 · 3. The Proposed Method. Spectral kurtosis has been applied to rotating machinery fault diagnosis for years and has achieved good results [].In the early stage of bearing faults, however, using SK to detect the impulses of the signals is difficult since potential periodic impulses are often overwhelmed by unexpected heavy noise [].To enhance the effect of SK, some preprocessing methods …, 26-12-2016 · 3. The Proposed Method. Spectral kurtosis has been applied to rotating machinery fault diagnosis for years and has achieved good results [].In the early stage of bearing faults, however, using SK to detect the impulses of the signals is difficult since potential periodic impulses are often overwhelmed by unexpected heavy noise [].To enhance the effect of SK, some preprocessing methods ….

J. Antoni and R. B. Randall “The spectral kurtosis

Fault Detection Enhancement in Rolling Element Bearings. Request PDF on ResearchGate On Jan 1, 2004, N. Sawalhi and others published The application of spectral kurtosis to bearing diagnostics, sk = pkurtosis(x) returns the spectral kurtosis of vector x as the vector sk. pkurtosis uses normalized frequency (evenly spaced frequency vector spanning [0 ПЂ]) to compute the time values.pkurtosis computes the spectrogram of x using pspectrum with default window size (time resolution in samples), and 80% window overlap..

THE APPLICATION OF SPECTRAL KURTOSIS TO BEARING DIAGNOSTICS Nader Sawalhi, Robert B. Randall School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia However, the fault feature of bearing cannot be directly revealed using the time-frequency method, because the fault causes complex modulation of resonance frequency. To resolve this problem, this paper proposes a joint application of Spectral Kurtosis …

The effectiveness of the proposed technique is examined by experimental tests corresponding to different bearing conditions. Test results show that the developed WS technique is an effective signal processing approach for non-stationary feature extraction and analysis, and it can be applied effectively for bearing fault detection. Recently the frequency dependent kurtosis defined in spectral domain was proposed and successfully used in bearing fault detection [13, 14,15] and vibratory surveillance and diagnostics of

Condition monitoring and fault diagnosis via vibration signal processing play an important role to avoid serious accidents. Aiming at the complexity of multiple faults in a rotor-bearing system and drawback, the characteristic frequency of relevant fault could not be determined effectively with traditional method. The Spectral Kurtosis (SK) is useful for the bearing fault detection. However, the fault feature of bearing cannot be directly revealed using the time-frequency method, because the fault causes complex modulation of resonance frequency. To resolve this problem, this paper proposes a joint application of Spectral Kurtosis …

1-9-2005 · Many machine faults, such as local defects in bearings and gears, manifest themselves in vibration signals as a series of impulsive events. Kurtosis is a measure of the impulsiveness of a signal, and spectral kurtosis (SK) gives an indication of how the kurtosis (of a bandpass filtered signal) varies with frequency. This not only gives an indication of the frequency bands to be processed, but 24-9-2019 · Envelope analysis is widely used in fault diagnosis of rolling element bearings (REBs). In envelope analysis, it is necessary to select a frequency band which is related to the resonance of the bearing. Spectral kurtosis (SK) is known as a powerful method to find the resonance band in …

As a matter of fact, the kurtosis has often been employed in the signal-processing community to solve “blind” problems: blind identification and equalisation of systems by output kurtosis maximisation, blind separation of mixed signals by individual maximisation of the source kurtosis, etc. Here, the spectral version of the kurtosis is used The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing. Mechanical Systems and Signal Processing, Vol. 25, 2011, p. 266-284. Guo W., Tse P. W., Djordjevich A. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition.

2-8-2016 · According to the similarity between Morlet wavelet and fault signal and the sensitive characteristics of spectral kurtosis for the impact signal, a new wavelet spectrum detection approach based on spectral kurtosis for bearing fault signal is proposed. This method decreased the band-pass filter range and reduced the wavelet window width significantly. As a matter of fact, the kurtosis has often been employed in the signal-processing community to solve “blind” problems: blind identification and equalisation of systems by output kurtosis maximisation, blind separation of mixed signals by individual maximisation of the source kurtosis, etc. Here, the spectral version of the kurtosis is used

Fault Detection Enhancement in Rolling Element Bearings

the application of spectral kurtosis to bearing diagnostics

Spectral kurtosis from signal or spectrogram MATLAB. 26-10-2019 · The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing @inproceedings{Eftekharnejad2011TheAO, title={The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing}, author={Babak Eftekharnejad and Mar{\'i}a Rosa Yag{\"u}e Carrasco and B. Charnley}, year={2011} }, However, the fault feature of bearing cannot be directly revealed using the time-frequency method, because the fault causes complex modulation of resonance frequency. To resolve this problem, this paper proposes a joint application of Spectral Kurtosis ….

A Spectrum Detection Approach for Bearing Fault Signal. Read "Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference, Mechanical Systems and Signal Processing" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips., Sawalhi, N. and Randall, R.B. (2004) The Application of Spectral Kurtosis to Bearing Diagnostics. Proceedings of Acoustics 2004, Gold Coast, 3-5 November 2004, 393-398..

Rolling Bearing Diagnosis Based on the Higher Order Spectra

the application of spectral kurtosis to bearing diagnostics

Application of Linear Prediction Self-Adaptive Noise. Spectral kurtosis applied to acoustic emission in bearings. B Eftekharnejad 1, M Alssayh 2, (SK) has been applied to offer improved diagnosis for bearing defect detection. Export citation and abstract R B 2006 The Spectral Kurtosis: Application to the Vibratory Surveillance and Diagnostics of Rotating Machines Mechanical Syst. Signal STFT based Spectral Kurtosis and Energy Distribution approach for ball bearing fault detection in a varying speed motor Marco Cocconcelli1, Radoslaw Zimroz2, Riccardo Rubini1 and Walter Bartelmus2 1 University of Modena and Reggio Emilia Reggio Emilia, 42122, Italy {marco.cocconcelli, riccardo.rubini}@unimore.it 2 Diagnostics and Vibro-Acoustics Science Laboratory Pl Teatralny 2, ….

the application of spectral kurtosis to bearing diagnostics


KURTOSIS: A STATISTICAL APPROACH TO IDENTIFY DEFECT IN ROLLING BEARINGS F. de Lorenzo, Fincantieri Structural Analysis and Noise head office M. CalabrГІ,Fincantieri Structural Analysis and Noise office, Failure of rolling element bearings plays a significant role in the breackdown of industrial machinery.However, the 1-6-2017В В· As a useful tool to detect protrusion buried in signals, kurtosis has a wide application in engineering, for example, in bearing fault diagnosis. Spectral kurtosis (SK) can further indicate the presence of a series of transients and their locations in the frequency domain. The factors influencing kurtosis values are first analyzed, leading to the conclusion that amplitude, not the frequency of

Read "Application of spectral kurtosis to the detection of tip vortex cavitation noise in marine propeller, Mechanical Systems and Signal Processing" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Bearing fault detection with application to PHM Data Challenge Pavle BoЕЎkoski 1, and Anton Urevc 2 1 JoЕѕef Stefan Institute, Ljubljana, Slovenia pavle.boskoski@ijs.si 2 Centre for Tribology and Technical Diagnostics, Faculty of Mechanical Engineering, University of Ljubljana, Slovenia

The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing. Mechanical Systems and Signal Processing, Vol. 25, 2011, p. 266-284. Guo W., Tse P. W., Djordjevich A. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition. 26-12-2016 · 3. The Proposed Method. Spectral kurtosis has been applied to rotating machinery fault diagnosis for years and has achieved good results [].In the early stage of bearing faults, however, using SK to detect the impulses of the signals is difficult since potential periodic impulses are often overwhelmed by unexpected heavy noise [].To enhance the effect of SK, some preprocessing methods …

APPLICATION OF SPECTRAL KURTOSIS TO BEARING FAULT DETECTION IN INDUCTION MOTORS Valeriu Vrabie1, Pierre Granjon1, Claire-Sophie Maroni 2, Benoît Leprettre2 1 Laboratoire des Images et des Signaux (LIS), INPG, BP46, 38402 St Martin d'Hères, France Mail: Valeriu.Vrabie@lis.inpg.fr Pierre.Granjon@lis.inpg.fr 2 Schneider Electric Industries SAS, A2 Research Center, 4 rue Volta, F … 1-6-2017 · As a useful tool to detect protrusion buried in signals, kurtosis has a wide application in engineering, for example, in bearing fault diagnosis. Spectral kurtosis (SK) can further indicate the presence of a series of transients and their locations in the frequency domain. The factors influencing kurtosis values are first analyzed, leading to the conclusion that amplitude, not the frequency of

APPLICATION OF SPECTRAL KURTOSIS TO BEARING FAULT DETECTION IN INDUCTION MOTORS Valeriu Vrabie1, Pierre Granjon1, Claire-Sophie Maroni 2, Benoît Leprettre2 1 Laboratoire des Images et des Signaux (LIS), INPG, BP46, 38402 St Martin d'Hères, France Mail: Valeriu.Vrabie@lis.inpg.fr Pierre.Granjon@lis.inpg.fr 2 Schneider Electric Industries SAS, A2 Research Center, 4 rue Volta, F … Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics J. Vassa,,R.Sˇmı´da, R.B. Randallb, P. Sovkaa, C. Cristallic, B. Torciantic aFaculty of Electrical Engineering, Czech Technical University, Technicka´ 2, 166 27 Prague, Czech Republic

Sawalhi, N. and Randall, R.B. (2004) The Application of Spectral Kurtosis to Bearing Diagnostics. Proceedings of Acoustics 2004, Gold Coast, 3-5 November 2004, 393-398. 8-9-2015В В· The early fault characteristics of rolling element bearings carried by vibration signals are quite weak because the signals are generally masked by heavy background noise. To extract the weak fault characteristics of bearings from the signals, an improved spectral kurtosis (SK) method is proposed based on maximum correlated kurtosis deconvolution (MCKD).

J. Antoni and R. B. Randall, “The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines,” Mechanical Systems and 27-4-2012 · Spectral kurtosis based on AR model for fault diagnosis and condition monitoring of rolling bearing. Authors; The spectral kurtosis: Application to the vibratory surveillance and The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals

Rolling Bearing Diagnosis Based on the Higher Order Spectra

the application of spectral kurtosis to bearing diagnostics

Fault diagnosis of rolling element bearing using more. 1-6-2017В В· As a useful tool to detect protrusion buried in signals, kurtosis has a wide application in engineering, for example, in bearing fault diagnosis. Spectral kurtosis (SK) can further indicate the presence of a series of transients and their locations in the frequency domain. The factors influencing kurtosis values are first analyzed, leading to the conclusion that amplitude, not the frequency of, diagnostics. In this paper we implemented and experimentally validated the higher order spectra based on the envelope analysis for the diagnosis of ball bearing defects. The implemented technology employs the spectral kurtosis to obtain a frequency band for the demodulation.

Bearing fault detection with application to PHM Data Challenge

Bearing fault detection with application to PHM Data Challenge. diagnostics. In this paper we implemented and experimentally validated the higher order spectra based on the envelope analysis for the diagnosis of ball bearing defects. The implemented technology employs the spectral kurtosis to obtain a frequency band for the demodulation, SELECTION OF INFORMATIVE FREQUENCY BAND BASED ON THE LOCAL MAXIMA METHOD IN APPLICATION TO BEARING DIAGNOSTICS Jakub OBUCHOWSKI1), Agnieszka WYЕЃOMAЕѓSKA2), RadosЕ‚aw ZIMROZ1) 1)Diagnostics and Vibro-Acoustics Science Laboratory, Wroclaw University of Technology Na Grobli 15, 50-421 Wroclaw, Poland.

Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics J. Vassa,,R.Sˇmı´da, R.B. Randallb, P. Sovkaa, C. Cristallic, B. Torciantic aFaculty of Electrical Engineering, Czech Technical University, Technicka´ 2, 166 27 Prague, Czech Republic As a matter of fact, the kurtosis has often been employed in the signal-processing community to solve “blind” problems: blind identification and equalisation of systems by output kurtosis maximisation, blind separation of mixed signals by individual maximisation of the source kurtosis, etc. Here, the spectral version of the kurtosis is used

THE APPLICATION OF SPECTRAL KURTOSIS TO BEARING DIAGNOSTICS Nader Sawalhi, Robert B. Randall School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia spectral kurtosis and linear prediction in detection of a naturally degraded bearing in a gearbox. Signal separation, Bearing Diagnostics, Gearbox _____ * corresponding author: Mechanical, Aerospace and automative Engineering, Coventry Many recursive algorithms have been developed for application of the adaptive filter[20, 27].

Rolling element bearing fault diagnosis based on spectral kurtosis and bi-spectrum: Zheng Hong 1, Zhou Lei 1, Yang Hao 2: 1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China; The effectiveness of the proposed technique is examined by experimental tests corresponding to different bearing conditions. Test results show that the developed WS technique is an effective signal processing approach for non-stationary feature extraction and analysis, and it can be applied effectively for bearing fault detection.

1-9-2005В В· Many machine faults, such as local defects in bearings and gears, manifest themselves in vibration signals as a series of impulsive events. Kurtosis is a measure of the impulsiveness of a signal, and spectral kurtosis (SK) gives an indication of how the kurtosis (of a bandpass filtered signal) varies with frequency. This not only gives an indication of the frequency bands to be processed, but Spectral kurtosis (SK) has been proved to be a powerful tool to help extract impulse-like fault characteristics from original non-stationary vibration signals buried in strong masking noise. Howeve...

The effectiveness of the proposed technique is examined by experimental tests corresponding to different bearing conditions. Test results show that the developed WS technique is an effective signal processing approach for non-stationary feature extraction and analysis, and it can be applied effectively for bearing fault detection. SELECTION OF INFORMATIVE FREQUENCY BAND BASED ON THE LOCAL MAXIMA METHOD IN APPLICATION TO BEARING DIAGNOSTICS Jakub OBUCHOWSKI1), Agnieszka WYЕЃOMAЕѓSKA2), RadosЕ‚aw ZIMROZ1) 1)Diagnostics and Vibro-Acoustics Science Laboratory, Wroclaw University of Technology Na Grobli 15, 50-421 Wroclaw, Poland

Spectral kurtosis (SK) has been proved to be a powerful tool to help extract impulse-like fault characteristics from original non-stationary vibration signals buried in strong masking noise. Howeve... Application of Linear Prediction, Self-Adaptive Noise Cancellation, and Spectral Kurtosis in Identifying Natural Damage of Rolling Element Bearing in a Gearbox

The effectiveness of the proposed technique is examined by experimental tests corresponding to different bearing conditions. Test results show that the developed WS technique is an effective signal processing approach for non-stationary feature extraction and analysis, and it can be applied effectively for bearing fault detection. However, the fault feature of bearing cannot be directly revealed using the time-frequency method, because the fault causes complex modulation of resonance frequency. To resolve this problem, this paper proposes a joint application of Spectral Kurtosis …

diagnostics. In this paper we implemented and experimentally validated the higher order spectra based on the envelope analysis for the diagnosis of ball bearing defects. The implemented technology employs the spectral kurtosis to obtain a frequency band for the demodulation The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing. Mechanical Systems and Signal Processing, Vol. 25, 2011, p. 266-284. Guo W., Tse P. W., Djordjevich A. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition.

Application of Linear Prediction, Self-Adaptive obtained show that the Spectral Kurtosis was able to detect an incipient fault in the outer race of the bearing much earlier than any other technique. In vibration-based diagnostics, LP is a method that allows STFT based Spectral Kurtosis and Energy Distribution approach for ball bearing fault detection in a varying speed motor Marco Cocconcelli1, Radoslaw Zimroz2, Riccardo Rubini1 and Walter Bartelmus2 1 University of Modena and Reggio Emilia Reggio Emilia, 42122, Italy {marco.cocconcelli, riccardo.rubini}@unimore.it 2 Diagnostics and Vibro-Acoustics Science Laboratory Pl Teatralny 2, …

On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the detected defects periods which are the inputs for a fuzzy classifier that provide defect alerts 89 The Spectral Kurtosis technique has been introduced recently for bearing signal 90 separation (Ruiz-CГЎrcel, Hernani-Ros et al. 2014, Antoni, Randall 2006). In which the 91 kurtosis of decomposed signals is estimated and the signal with higher kurtosis 92 present the impacts due to the bearing fault.

The effectiveness of the proposed technique is examined by experimental tests corresponding to different bearing conditions. Test results show that the developed WS technique is an effective signal processing approach for non-stationary feature extraction and analysis, and it can be applied effectively for bearing fault detection. Read "Application of spectral kurtosis to the detection of tip vortex cavitation noise in marine propeller, Mechanical Systems and Signal Processing" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

Read "Application of spectral kurtosis to the detection of tip vortex cavitation noise in marine propeller, Mechanical Systems and Signal Processing" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. THE APPLICATION OF SPECTRAL KURTOSIS TO BEARING DIAGNOSTICS Nader Sawalhi, Robert B. Randall School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia

Fault diagnosis of rolling element bearing using more. 17-12-2013 · Wheel-bearings easily acquire defects due to their high-speed operating conditions and constant metal-metal contact, so defect detection is of great importance for railroad safety. The conventional spectral kurtosis (SK) technique provides an optimal bandwidth for envelope demodulation. However, this technique may cause false detections when processing real vibration signals for wheel …, 17-12-2013 · Wheel-bearings easily acquire defects due to their high-speed operating conditions and constant metal-metal contact, so defect detection is of great importance for railroad safety. The conventional spectral kurtosis (SK) technique provides an optimal bandwidth for envelope demodulation. However, this technique may cause false detections when processing real vibration signals for wheel ….

Detection of Incipient Bearing Fault in a Slowly Rotating

the application of spectral kurtosis to bearing diagnostics

Early Fault Diagnosis of Bearings Using an Improved. However, the fault feature of bearing cannot be directly revealed using the time-frequency method, because the fault causes complex modulation of resonance frequency. To resolve this problem, this paper proposes a joint application of Spectral Kurtosis …, 26-10-2019 · The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing @inproceedings{Eftekharnejad2011TheAO, title={The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing}, author={Babak Eftekharnejad and Mar{\'i}a Rosa Yag{\"u}e Carrasco and B. Charnley}, year={2011} }.

Detection of Incipient Bearing Fault in a Slowly Rotating

the application of spectral kurtosis to bearing diagnostics

Applications of Spectral Kurtosis in Machine Diagnostics. 7-12-2018 · J. Antoni and R. B. Randall, The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, 20 (2) (2006) 308–331. CrossRef Google Scholar Application of Linear Prediction, Self-Adaptive Noise Cancellation, and Spectral Kurtosis in Identifying Natural Damage of Rolling Element Bearing in a Gearbox.

the application of spectral kurtosis to bearing diagnostics

  • Avoidance of speckle noise in laser vibrometry by the use
  • Time Domain Bearing Diagnosis Using Kurtosis Based

  • sk = pkurtosis(x) returns the spectral kurtosis of vector x as the vector sk. pkurtosis uses normalized frequency (evenly spaced frequency vector spanning [0 ПЂ]) to compute the time values.pkurtosis computes the spectrogram of x using pspectrum with default window size (time resolution in samples), and 80% window overlap. APPLICATION OF SPECTRAL KURTOSIS TO BEARING FAULT DETECTION IN INDUCTION MOTORS Valeriu Vrabie1, Pierre Granjon1, Claire-Sophie Maroni 2, BenoГ®t Leprettre2 1 Laboratoire des Images et des Signaux (LIS), INPG, BP46, 38402 St Martin d'HГЁres, France Mail: Valeriu.Vrabie@lis.inpg.fr Pierre.Granjon@lis.inpg.fr 2 Schneider Electric Industries SAS, A2 Research Center, 4 rue Volta, F …

    J. Antoni and R. B. Randall, “The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines,” Mechanical Systems and Sawalhi, N. and Randall, R.B. (2004) The Application of Spectral Kurtosis to Bearing Diagnostics. Proceedings of Acoustics 2004, Gold Coast, 3-5 November 2004, 393-398.

    STFT based Spectral Kurtosis and Energy Distribution approach for ball bearing fault detection in a varying speed motor Marco Cocconcelli1, Radoslaw Zimroz2, Riccardo Rubini1 and Walter Bartelmus2 1 University of Modena and Reggio Emilia Reggio Emilia, 42122, Italy {marco.cocconcelli, riccardo.rubini}@unimore.it 2 Diagnostics and Vibro-Acoustics Science Laboratory Pl Teatralny 2, … Sawalhi, N. and Randall, R.B. (2004) The Application of Spectral Kurtosis to Bearing Diagnostics. Proceedings of Acoustics 2004, Gold Coast, 3-5 November 2004, 393-398.

    Spectral kurtosis (SK) has been proved to be a powerful tool to help extract impulse-like fault characteristics from original non-stationary vibration signals buried in strong masking noise. Howeve... Proceedings of ACOUSTICS 2004 3- 5 November 2004, Gold Coast, Australia THE APPLICATION OF SPECTRAL KURTOSIS TO BEARING DIAGNOSTICS Nader Sawalhi, Robert B. Randall School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia

    Application of Linear Prediction, Self-Adaptive Noise Cancellation, and Spectral Kurtosis in Identifying Natural Damage of Rolling Element Bearing in a Gearbox 89 The Spectral Kurtosis technique has been introduced recently for bearing signal 90 separation (Ruiz-CГЎrcel, Hernani-Ros et al. 2014, Antoni, Randall 2006). In which the 91 kurtosis of decomposed signals is estimated and the signal with higher kurtosis 92 present the impacts due to the bearing fault.

    On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the detected defects periods which are the inputs for a fuzzy classifier that provide defect alerts 26-10-2019В В· The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing @inproceedings{Eftekharnejad2011TheAO, title={The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing}, author={Babak Eftekharnejad and Mar{\'i}a Rosa Yag{\"u}e Carrasco and B. Charnley}, year={2011} }

    Condition monitoring and fault diagnosis via vibration signal processing play an important role to avoid serious accidents. Aiming at the complexity of multiple faults in a rotor-bearing system and drawback, the characteristic frequency of relevant fault could not be determined effectively with traditional method. The Spectral Kurtosis (SK) is useful for the bearing fault detection. Avoidance of speckle noise in laser vibrometry by the use of kurtosis ratio: Application to mechanical fault diagnostics J. Vassa,,R.Sˇmı´da, R.B. Randallb, P. Sovkaa, C. Cristallic, B. Torciantic aFaculty of Electrical Engineering, Czech Technical University, Technicka´ 2, 166 27 Prague, Czech Republic

    Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference. found that EMI severely interfered with planet bearing diagnostics when studying data from the same test rig as in the present study R.B. RandallThe spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines. 27-4-2012В В· Spectral kurtosis based on AR model for fault diagnosis and condition monitoring of rolling bearing. Authors; The spectral kurtosis: Application to the vibratory surveillance and The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals

    The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing. Mechanical Systems and Signal Processing, Vol. 25, 2011, p. 266-284. Guo W., Tse P. W., Djordjevich A. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition. Application of Linear Prediction, Self-Adaptive obtained show that the Spectral Kurtosis was able to detect an incipient fault in the outer race of the bearing much earlier than any other technique. In vibration-based diagnostics, LP is a method that allows

    2-8-2016 · According to the similarity between Morlet wavelet and fault signal and the sensitive characteristics of spectral kurtosis for the impact signal, a new wavelet spectrum detection approach based on spectral kurtosis for bearing fault signal is proposed. This method decreased the band-pass filter range and reduced the wavelet window width significantly. 7-12-2018 · J. Antoni and R. B. Randall, The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, 20 (2) (2006) 308–331. CrossRef Google Scholar

    As a matter of fact, the kurtosis has often been employed in the signal-processing community to solve “blind” problems: blind identification and equalisation of systems by output kurtosis maximisation, blind separation of mixed signals by individual maximisation of the source kurtosis, etc. Here, the spectral version of the kurtosis is used STFT based Spectral Kurtosis and Energy Distribution approach for ball bearing fault detection in a varying speed motor Marco Cocconcelli1, Radoslaw Zimroz2, Riccardo Rubini1 and Walter Bartelmus2 1 University of Modena and Reggio Emilia Reggio Emilia, 42122, Italy {marco.cocconcelli, riccardo.rubini}@unimore.it 2 Diagnostics and Vibro-Acoustics Science Laboratory Pl Teatralny 2, …

    2-8-2016В В· According to the similarity between Morlet wavelet and fault signal and the sensitive characteristics of spectral kurtosis for the impact signal, a new wavelet spectrum detection approach based on spectral kurtosis for bearing fault signal is proposed. This method decreased the band-pass filter range and reduced the wavelet window width significantly. THE APPLICATION OF SPECTRAL KURTOSIS TO BEARING DIAGNOSTICS Nader Sawalhi, Robert B. Randall School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney 2052, Australia

    the application of spectral kurtosis to bearing diagnostics

    APPLICATION OF SPECTRAL KURTOSIS TO BEARING FAULT DETECTION IN INDUCTION MOTORS Valeriu Vrabie1, Pierre Granjon1, Claire-Sophie Maroni 2, Benoît Leprettre2 1 Laboratoire des Images et des Signaux (LIS), INPG, BP46, 38402 St Martin d'Hères, France Mail: Valeriu.Vrabie@lis.inpg.fr Pierre.Granjon@lis.inpg.fr 2 Schneider Electric Industries SAS, A2 Research Center, 4 rue Volta, F … On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the detected defects periods which are the inputs for a fuzzy classifier that provide defect alerts

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