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Volumn 14, Issue 2, 2000, Pages 229-241

Fault diagnosis of rotating machinery through visualisation of sound signals

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC VARIABLES MEASUREMENT; ACOUSTIC WAVES; BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; MACHINE VIBRATIONS; MATHEMATICAL MODELS; SENSORS; SIGNAL TO NOISE RATIO; TIME DOMAIN ANALYSIS; VISUALIZATION; WAVELET TRANSFORMS;

EID: 0033747150     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1999.1255     Document Type: Article
Times cited : (133)

References (3)
  • 1
    • 0343057843 scopus 로고    scopus 로고
    • Development of detecting faults in FFU using sound signal (Parts 1, 2)
    • SHIBATA et al K. Development of detecting faults in FFU using sound signal (Parts 1, 2). Proceedings of SHASE. 1996;1033-1040.
    • (1996) Proceedings of SHASE , pp. 1033-1040
    • Shibata Et Al, K.1
  • 2
    • 0342623534 scopus 로고    scopus 로고
    • Development of detecting faults in FFU using sound signal (Part 3)
    • SHIBATA et al K. Development of detecting faults in FFU using sound signal (Part 3). Proceedings of SHASE. 1997;941-944.
    • (1997) Proceedings of SHASE , pp. 941-944
    • Shibata Et Al, K.1
  • 3
    • 0022773748 scopus 로고
    • On the use of symmetrized dot patterns for the visual characterization of speech waveforms and other sampled data
    • PICKOVER C. A. On the use of symmetrized dot patterns for the visual characterization of speech waveforms and other sampled data. Journal of Acoustical Society of America. 80:1986;955-960.
    • (1986) Journal of Acoustical Society of America , vol.80 , pp. 955-960
    • Pickover, C.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.