2000
DOI: 10.1006/mssp.1999.1243
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Blind Sources Separation Applied to Rotating Machines Monitoring by Acoustical and Vibrations Analysis

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Cited by 79 publications
(35 citation statements)
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“…Gelle et al [12] used blind source separation to recover source signals from measured signals. The aim of this study was not to estimate the exact source signal but rather to remove the influence of surrounding machines from the signal being measured.…”
Section: Introductionmentioning
confidence: 99%
“…Gelle et al [12] used blind source separation to recover source signals from measured signals. The aim of this study was not to estimate the exact source signal but rather to remove the influence of surrounding machines from the signal being measured.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the research on vibration signal processing and vibration source identification mainly contains the blind source separation technology [1][2][3][4][5][6][7], a signal processing method extracting source signals without knowing or only knowing a little prior information, which is especially applied to communication reconnaissance areas. This technology is currently only effective for the cycle stationary signal while in reality there are always anti-stationary random signals.…”
Section: Introductionmentioning
confidence: 99%
“…These methods are very popular for communications or audio processing applications [1]. BSS [2,3] is also very attractive for diagnosis of mechanical systems or rotating machine monitoring [4][5][6][7][8][9][10]. Indeed, useful signals are generally corrupted with signals coming from other mechanical systems and ambient noise.…”
Section: Introductionmentioning
confidence: 99%