Application of wavelet and Wigner analysis to gas turbine vibration signal processing

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3391, Issue , 1998, Pages 490-501

  Harrison, Gregory A ^a   Koren, Iztok ^b   Lewis, Michael ^c   Taylor, Fred J ^b  

^a LOCKHEED MARTIN   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c Athena Group   (United States)

Author keywords

DSP; Neural networks; Turbine; Wavelet; Wigner

Indexed keywords

DAMAGE DETECTION; ECONOMIC AND SOCIAL EFFECTS; GAS TURBINES; NEURAL NETWORKS; SIGNAL ANALYSIS; TURBINES; WAVELET TRANSFORMS; WIGNER-VILLE DISTRIBUTION;

AMPLITUDE INFORMATION; NON-STATIONARY ENVIRONMENT; NONSTATIONARY SIGNALS; TIME AND FREQUENCIES; TRANSFORM COEFFICIENTS; VIBRATION AMPLITUDE; WAVELET; WIGNER;

VIBRATION ANALYSIS;

EID: 0007857810     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.304898     Document Type: Conference Paper

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