Failure Diagnosis of V-Belt by Cross-Spectrum Method and Discriminant Function Approach.

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  • Ｖベルトのクロススペクトル法と判別関数法による故障診断
  • Vベルト ノ クロス スペクトルホウ ト ハンベツ カンスウホウ ニ ヨル コ

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Abstract

This paper presents a failure diagnosis of a V-belt thorough vibration monitoring. The belt vibration is monitored at points on a driven bearing. Seven types of basic causes of belt failures are considered. Power spectra of the vibration data are calculated through a noise reduction called a cross-spectrum method. Six parameters characterizing the vibration data are identified, and seventeen typical combinations of basic causes are diagnosed by a Bayes' discriminant function approach. Two types of incorrect diagnoses are considered : type I leaves a failed belt not repaired, and type II causes overmaintenance. Two types of losses are considered accordingly, and the ratio of them is determined so as to minimize the type I error. It turns out that the Bayes' approach using the six characteristic parameters successfully diagnoses the V-belt failure.

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