The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

The properties of the time domain parameters of vibration signals have been extensively studied for the fault diagnosis of rolling element bearings (REBs). Parameters like kurtosis and Envelope Harmonic-to-Noise Ratio are the most widely applied in this field and some important progress has been mad...

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Main Authors: Peng Sun, Yuhe Liao, Jin Lin
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/3/535
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spelling doaj-e6531bf6299d4121a4b948d6b291dd252020-11-24T22:01:01ZengMDPI AGSensors1424-82202017-03-0117353510.3390/s17030535s17030535The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element BearingsPeng Sun0Yuhe Liao1Jin Lin2Shaanxi Key Laboratory of Mechanical Product Quality Assurance and Diagnostics, Xi’an Jiaotong University, Xi’an 710049, ChinaShaanxi Key Laboratory of Mechanical Product Quality Assurance and Diagnostics, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaThe properties of the time domain parameters of vibration signals have been extensively studied for the fault diagnosis of rolling element bearings (REBs). Parameters like kurtosis and Envelope Harmonic-to-Noise Ratio are the most widely applied in this field and some important progress has been made. However, since only one-sided information is contained in these parameters, problems still exist in practice when the signals collected are of complicated structure and/or contaminated by strong background noises. A new parameter, named Shock Pulse Index (SPI), is proposed in this paper. It integrates the mutual advantages of both the parameters mentioned above and can help effectively identify fault-related impulse components under conditions of interference of strong background noises, unrelated harmonic components and random impulses. The SPI optimizes the parameters of Maximum Correlated Kurtosis Deconvolution (MCKD), which is used to filter the signals under consideration. Finally, the transient information of interest contained in the filtered signal can be highlighted through demodulation with the Teager Energy Operator (TEO). Fault-related impulse components can therefore be extracted accurately. Simulations show the SPI can correctly indicate the fault impulses under the influence of strong background noises, other harmonic components and aperiodic impulse and experiment analyses verify the effectiveness and correctness of the proposed method.http://www.mdpi.com/1424-8220/17/3/535fault diagnosisshock pulse indexmaximum correlated kurtosis deconvolutionteager energy operatorrolling element bearings
collection DOAJ
language English
format Article
sources DOAJ
author Peng Sun
Yuhe Liao
Jin Lin
spellingShingle Peng Sun
Yuhe Liao
Jin Lin
The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
Sensors
fault diagnosis
shock pulse index
maximum correlated kurtosis deconvolution
teager energy operator
rolling element bearings
author_facet Peng Sun
Yuhe Liao
Jin Lin
author_sort Peng Sun
title The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
title_short The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
title_full The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
title_fullStr The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
title_full_unstemmed The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings
title_sort shock pulse index and its application in the fault diagnosis of rolling element bearings
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-03-01
description The properties of the time domain parameters of vibration signals have been extensively studied for the fault diagnosis of rolling element bearings (REBs). Parameters like kurtosis and Envelope Harmonic-to-Noise Ratio are the most widely applied in this field and some important progress has been made. However, since only one-sided information is contained in these parameters, problems still exist in practice when the signals collected are of complicated structure and/or contaminated by strong background noises. A new parameter, named Shock Pulse Index (SPI), is proposed in this paper. It integrates the mutual advantages of both the parameters mentioned above and can help effectively identify fault-related impulse components under conditions of interference of strong background noises, unrelated harmonic components and random impulses. The SPI optimizes the parameters of Maximum Correlated Kurtosis Deconvolution (MCKD), which is used to filter the signals under consideration. Finally, the transient information of interest contained in the filtered signal can be highlighted through demodulation with the Teager Energy Operator (TEO). Fault-related impulse components can therefore be extracted accurately. Simulations show the SPI can correctly indicate the fault impulses under the influence of strong background noises, other harmonic components and aperiodic impulse and experiment analyses verify the effectiveness and correctness of the proposed method.
topic fault diagnosis
shock pulse index
maximum correlated kurtosis deconvolution
teager energy operator
rolling element bearings
url http://www.mdpi.com/1424-8220/17/3/535
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