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- 저자 : Ik Hyun Nam(남익현) (검색결과 1 건)
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Bearing health prediction model construction robust to variable operating conditions
Jinwoo Sim(심진우),Ik Hyun Nam(남익현),Joo-ho Choi(최주호) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
In condition monitoring of rotating machinery, bearings are the key components to successful maintenance, which is the foremost cause of failures in rotating machinery. Therefore, diagnosing the current health state of bearing and predicting RUL are very important in the PHM of the rotating machinery. To diagnose the current health state of bearing, quantification of the bearing fault severity is required. In this paper, authors utilized Anderometer that measures bearing vibration noise and the measured value was used as HI. However, the Anderometer can be used under the specific fixed condition, so the vibration noise of the bearing in operation cannot be measured with the Anderometer. To overcome this, as shown in the figure, the sensor data was gathered under the variable operating condition from the various bearings that have different fault size, which is already measured by Anderometer. And then, HI estimation models for each operating condition are constructed from the vibration data and certain features correlated with HI. From this model, HI can be estimated by entering sensor data and operating conditions. After the HI estimation model is constructed, bearing life test is performed to obtain bearing health degradation trend for each constant operating condition. Every moment bearing sensor signal is gathered and HI is estimated by the constructed model. From the current HI value and operating condition, next step HI can be predicted under variable operating conditions and then RUL also can be predicted.
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