Spectral entropy: a complementary index for rolling element bearing performance degradation assessment

被引:128
作者
Pan, Y. N. [1 ]
Chen, J. [1 ]
Li, X. L. [2 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Hangzhou Bearing Test & Res Ctr, State Testing Lab, Hangzhou, Zhejiang, Peoples R China
关键词
spectral entropy; performance degradation assessment; bearing accelerated life test; FAULT-DIAGNOSIS; STATISTICAL MOMENTS; MACHINE; VIBRATION; ALGORITHM; ENVELOPE; DEFECTS;
D O I
10.1243/09544062JMES1224
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Performance degradation assessment has been proposed to realize equipment's near-zero downtime and maximum productivity. Exploring effective indices is crucial for it. In this study, rolling element bearing has been taken as a research object, spectral entropy is proposed to be as a complementary index for its performance degradation assessment, and its accelerated life test has been performed to collect vibration data over a whole lifetime (normal-fault-failure). Results of both simulation and experiment show that spectral entropy is an effective complementary index.
引用
收藏
页码:1223 / 1231
页数:9
相关论文
共 43 条
[1]   Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions [J].
Antoni, J. .
JOURNAL OF SOUND AND VIBRATION, 2007, 304 (3-5) :497-529
[2]   Cyclostationary modelling of rotating machine vibration signals [J].
Antoni, J ;
Bonnardot, F ;
Raad, A ;
El Badaoui, M .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2004, 18 (06) :1285-1314
[3]   Differential diagnosis of gear and bearing faults [J].
Antoni, J ;
Randall, RB .
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2002, 124 (02) :165-171
[4]   DETECTION OF ROLLING ELEMENT BEARING DAMAGE BY STATISTICAL VIBRATION ANALYSIS [J].
DYER, D ;
STEWART, RM .
JOURNAL OF MECHANICAL DESIGN-TRANSACTIONS OF THE ASME, 1978, 100 (02) :229-235
[5]   Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals [J].
Ho, D ;
Randall, RB .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2000, 14 (05) :763-788
[6]   New statistical moments for diagnostics of rolling element bearings [J].
Honarvar, F ;
Martin, HR .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 1997, 119 (03) :425-432
[7]   On the use of complementary spectral features for speaker recognition [J].
Hosseinzadeh, Danoush ;
Krishnan, Sridhar .
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, 2008 (1)
[8]   Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods [J].
Huang, Runqing ;
Xi, Lifeng ;
Li, Xinglin ;
Liu, C. Richard ;
Qiu, Hai ;
Lee, Jay .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (01) :193-207
[9]   A review on machinery diagnostics and prognostics implementing condition-based maintenance [J].
Jardine, Andrew K. S. ;
Lin, Daming ;
Banjevic, Dragan .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (07) :1483-1510
[10]   Measurement of machine performance degradation using a neural network model [J].
Lee, J .
COMPUTERS IN INDUSTRY, 1996, 30 (03) :193-209