Abnormality diagnosis system for machinery

Abstract

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

Description

technical field [0001] The present invention relates to abnormality diagnosis technology of mechanical equipment including bearings such as railway vehicles, aviation machinery, wind power generators, lathes, automobiles, ironmaking machinery, papermaking machinery, and rotating machinery. An abnormality diagnosis technology of mechanical equipment that diagnoses abnormalities of bearings or bearing-related components in the mechanical equipment using sound or vibration. Background technique [0002] Conventionally, as such an abnormality diagnosis technique, a technique is known in which a signal representing sound or vibration from a sliding part of a mechanical device or a member related to the sliding part is detected, and the frequency spectrum of the detected signal or its envelope signal is obtained, from Only the frequency component caused by the abnormality of the sliding part of the mechanical equipment or the related components of the sliding part of the mechanica...

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Problems solved by technology

[0031] However, in the conventional abnormality diagnosis device, since it is necessary to install vibration sensors for each axle box, the number of sensors installed per vehicle increases, and the input circuit and wiring of the signal processing unit for processing sensor signals The number is huge, and there is a problem of complex circuit structure

[0032] However, in the defect detection device described in Patent Document 6, it is impossible to identify whether the abnormal vibration is caused by the flatness of the vehicle, the axle bearing, or the wiring or other abnormalities.

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