The Methodology of Modified Frequency Band Envelope Kurtosis for Bearing Fault Diagnosis

被引:17
作者
Hua, Li [1 ]
Wu, Xing [2 ,3 ]
Liu, Tao [3 ]
Li, Shaobo [1 ,4 ]
机构
[1] Guizhou Univ, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
[2] Yunnan Vocat Coll Mech & Elect Technol, Kunming 650203, Peoples R China
[3] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming 650500, Peoples R China
[4] Guizhou Univ, Sch Mech Engn, Guiyang 550025, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-frequency analysis; Resonant frequency; Bandwidth; Transforms; Entropy; Noise reduction; Band-pass filters; Band-pass filter; correlation coefficient; envelope signal kurtosis; fault diagnosis; modified adaptive resonance bandwidth (MARB); time-frequency distribution; WAVELET PACKET TRANSFORM; DECOMPOSITION; EXTRACTION; SIGNALS;
D O I
10.1109/TII.2022.3183548
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, the enhanced frequency band entropy (EFBE) was proposed based on the replacement of short-time Fourier transform with wavelet packet transform. In view of the shortcomings of EFBE, a feasible solution is provided, namely modified frequency band envelope kurtosis (MFBEK), which can be described as follows: First, the modified adaptive resonance bandwidth (MARB) based on the bearing inner-race fault frequency is proposed. The kurtosis of the envelope signal as an available indicator and the MARB are used to determine the optimal depth of MFBEK. Second, this special case, that is, the resonant frequency occurs at the junction of two adjacent subbands is considered, and a corresponding effective solution is provided to determine the optimal subband(s). Then, the reconstructed signal can be obtained. And then, if necessary, a band-pass filter is designed to process the reconstructed signal to enhance the noise reduction performance. Finally, envelope power spectrum analysis is performed on the reconstructed signal or the filtered signal to extract the fault characteristic frequency. In addition, a modified indicator is proposed to measure the analysis results. Analysis results on simulated and vibration signals measured from actual bearing have revealed that the MFBEK can obtain more robust performance.
引用
收藏
页码:2856 / 2865
页数:10
相关论文
共 29 条
[1]   Damage detection of jacket type offshore platforms using rate of signal energy using wavelet packet transform [J].
Asgarian, Behrouz ;
Aghaeidoost, Vahid ;
Shokrgozar, Hamed Rahman .
MARINE STRUCTURES, 2016, 45 :1-21
[2]   A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram [J].
Barszcz, Tomasz ;
Jablonski, Adam .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (01) :431-451
[3]  
Chen Y, 2016, IEEE INT C BIOINFORM, P1485, DOI 10.1109/BIBM.2016.7822742
[4]   A combined wavelet packet and Hilbert-Huang transform for defect detection and modelling of weld strength in friction stir welding process [J].
Das, Bipul ;
Pal, Sukhomay ;
Bag, Swarup .
JOURNAL OF MANUFACTURING PROCESSES, 2016, 22 :260-268
[5]   THE WAVELET TRANSFORM, TIME-FREQUENCY LOCALIZATION AND SIGNAL ANALYSIS [J].
DAUBECHIES, I .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1990, 36 (05) :961-1005
[6]   Time-Frequency Analysis and Applications [J].
Flandrin, Patrick ;
Amin, Moeness ;
McLaughlin, Stephen ;
Torresani, Bruno .
IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (06) :19-+
[7]   Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations [J].
Garcia Plaza, E. ;
Nunez Lopez, P. J. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 98 :902-919
[8]  
[郭瑜 Guo Yu], 2011, [振动、测试与诊断, Journal of Vibration, Measurement and Diagnosis], V31, P517
[9]   Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation [J].
Hemmati, Farzad ;
Orfali, Wasim ;
Gadala, Mohamed S. .
APPLIED ACOUSTICS, 2016, 104 :101-118
[10]   Application of an improved kurtogram method for fault diagnosis of rolling element bearings [J].
Lei, Yaguo ;
Lin, Jing ;
He, Zhengjia ;
Zi, Yanyang .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (05) :1738-1749