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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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 |
work_keys_str_mv |
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