213 歯車異常時の振動特徴の解明及び診断法 : 第1報,異常時の振動方程式と異常状態の振動特徴解明(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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Gear equipment is one of important parts on plant machinery. However, up to now, the method of failure diagnosis of gear equipment has not been clarified theoretically, and the condition monitoring of gear equipment has been carried out mainly by statistical way and experience. So the main problems are : (1) The fault signal is hardly extracted from measured signal for early diagnosis. (2) The fault type cannot been easily recognized. In order to overcome the difficulties, in this study we develop the diagnosis theory for gear equipment by clarifying the change of dynamic characteristics between normal and abnormal states, and using theories of signal processing, fuzzy and neural network etc. In the this paper, we point out the problems of the traditional diagnosis method using only the dynamic model of normal state, and propose the dynamic model for vibration analysis of fault gears. The dynamic characteristics on fault gears are clarified with solving the nonlinear vibration equations by the locus analysis of meshing contact point. We have obtained the vibration waveform of Eccentricity state, wear state and spot flaw state by computer simulations using the method proposed in this paper.
一般社団法人日本機械学会の論文
2001-06-05