Lifetime Prediction of Rolling Element Bearings with an Accelerometer
スポンサーリンク
概要
- 論文の詳細を見る
In order to monitor the condition of rotating machinery used in power plants or factories, many rotating machinery diagnosis systems have been developed. However, the lifetime prediction capabilities of these diagnosis systems were not enough to determine the appropriate maintenance timing based on the machinery condition. In this paper, to extend the maintenance period of rotating machinery, we have developed a new lifetime prediction method for rolling element bearings that can estimate the remaining life at an earlier stage than conventional methods. In the developing of the lifetime prediction algorithm, to make it possible for the early estimation of remaining life, we have considered the degradation mode of rolling element bearings, and we have constructed a high-sensitivity dent detection method using a resonance frequency band of acceleration sensor. Developing this method, we can predict the remaining life of rolling element bearings at an early stage, and it can be expected to make maintenance more efficient.
- 一般社団法人日本機械学会の論文
著者
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Shiromaru Isao
Chugoku Power Electric Co. Ltd.
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Iwatsubo Takuzo
Mechanical Eng. Dept. Engineering Div. Kobe Univ.
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Tanaka Makoto
Chugoku Power Electric Co. Ltd.
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Nagayasu Yoji
Shinkawa Sensor Technology Inc.
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Boda Shingo
Shinkawa Sensor Technology Inc.
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Akamatsu Yoshinobu
General Technical Laboratory, NTN Corp.
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Akamatsu Yoshinobu
General Technical Laboratory Ntn Corp.