214 歯車異常時の振動特徴の解明及び診断法 : 第2報,偏心状態,摩耗状態及びスポット傷状態の識別法(オーガナイズドセッション : O.S.2 音響・振動による診断技術I)

概要

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After investigating the feature of normal state and fault states by simulation and experiments in 1^<st> report, the diagnosis method is discussed in this paper. For diagnosing eccentricity and spot flaw state, the spectra of enveloped waveform are used to extract the feature frequency components in the spectra. The diagnosis algorithms for diagnosing the two types of fault states are shown in this paper. We have investigated the waveform features of two types of worn gears and found the feature of spectra measured in the wear states. When a gear is worn, its spectrum power in low frequency area becomes larger than that in normal state. Three symptom parameters in frequency domain are defined to distinguish wear state. We have verified the efficiency of these diagnosis methods by simulations and experiments.
一般社団法人日本機械学会の論文
2001-06-05