Concepedia

Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

Bing Li, Peilin Zhang, Dongsheng Liu, Shuang-shan Mi, Guoquan Ren, Hao Tian

Journal of Sound and Vibration · 2010 · 91 citations · 36 references

Concepts

ComputingData ScienceFeature EngineeringDiagnosisDiagnosticsFault DetectionFault DiagnosisFeature ExtractionFeature SelectionBearing Fault DiagnosisBearing FaultsFeature Extraction For DiagnosticsMachine Fault DiagnosisNon-negative Matrix FactorizationRolling Element BearingsRotating Machinery DiagnosticsSystem Fault Diagnosis

References

36

Learning the parts of objects by non-negative matrix factorization

Daniel D. Lee, H. Sebastian Seung · Nature · 1999 · 14.1K citations

Computing, Computer Science, Computer Vision +11

Localization of the complex spectrum: the S transform

R. G. Stockwell, L. Mansinha, R. P. Lowe · IEEE Transactions on Signal Processing · 1996 · 3.4K citations

Engineering, Geophysics, Computer Vision +13

FEATURE EXTRACTION BASED ON MORLET WAVELET AND ITS APPLICATION FOR MECHANICAL FAULT DIAGNOSIS

Jing Lin, Liangsheng Qu · Journal of Sound and Vibration · 2000 · 878 citations

Computing, Computer Science, Mechanical Engineering +9

A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing

Zhike Peng, Peter W. Tse, Fulei Chu · Mechanical Systems and Signal Processing · 2004 · 834 citations

Engineering, Electrical Engineering, Mechanical Engineering +14

ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES

B. Samanta, K. R. Al-Balushi · Mechanical Systems and Signal Processing · 2003 · 746 citations

Computing, Computer Engineering, Computer Science +10