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Machine fault diagnosis, based on acoustic signals, is frequently made difficult by noisy environments at a production site. In this paper, an improved time-domain blind deconvolution algorithm, based on envelope spectrum and normalized kurtosis, was proposed to recover acoustic signals of defective bearings. A newly defined distance measure based on envelope spectrum was employed to improve the classification...
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