Abnormality diagnosis system for machinery

作者: Juntaro Sahara , Masanobu Yamazoe , Yasushi Mutoh , Takanori Miyasaka

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摘要: An abnormality diagnosis system for machinery comprises an envelope processing section (103) determining the of a detection signal, FFT (104) converting into frequency spectrum, peak detecting unit (105) in which spectrum is smoothed by moving average method, resultant subjected to differentiation, points at sign differential coefficient changes from positive negative are detected as peaks, peaks higher predetermined threshold extracted and sorted, ones (T) performing on basis peaks.

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