Time-frequency representation based on time-varying autoregressive model with applications to non-stationary rotor vibration analysis

Sadhana - Academy Proceedings in Engineering Sciences

Volumn 35, Issue 2, 2010, Pages 215-232

  Zhang, Long ^a   Xiong, Guoliang ^b   Liu, Hesheng ^c   Zou, Huijun ^a   Guo, Weizhong ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b EAST CHINA JIAOTONG UNIVERSITY   (China)

^c SHANGRAO NORMAL UNIVERSITY   (China)

Author keywords

Fault diagnosis; Non stationary signal; Rotor; Time varying autoregressive model; TVAR

Indexed keywords

CHOI-WILLIAMS DISTRIBUTION; COMPARATIVE STUDIES; CONTINUOUS WAVELET TRANSFORM; CROSS-TERMS; EFFECTIVE SOLUTION; EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS; FAULT SYMPTOMS; MODEL ORDER; NEURAL NETWORKS AND GENETIC ALGORITHMS; NOISE RESISTANCE; NON-PARAMETRIC; NON-STATIONARY SIGNAL; NON-STATIONARY SIGNAL ANALYSIS; NON-STATIONARY VIBRATION SIGNALS; NONSTATIONARY; NONSTATIONARY SIGNALS; ON TIME; OPERATING CONDITION; ROTOR VIBRATIONS; SHORT TIME FOURIER TRANSFORMS; SIGNAL TIME; SIMULATED SIGNALS; TEST RIGS; TIME VARYING AUTOREGRESSIVE MODEL; TIME-FREQUENCY REPRESENTATIONS; TIME-VARYING MODELS; WIGNER-VILLE DISTRIBUTION;

FAILURE ANALYSIS; FEATURE EXTRACTION; FOURIER TRANSFORMS; NEURAL NETWORKS; ONLINE SEARCHING; SIGNAL ANALYSIS; SIGNAL PROCESSING; TIME VARYING NETWORKS; TIME VARYING SYSTEMS; WAVELET DECOMPOSITION;

VIBRATION ANALYSIS;

EID: 77955545935     PISSN: 02562499     EISSN: 09737677     Source Type: Journal    
DOI: 10.1007/s12046-010-0016-y     Document Type: Article

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