On-line Residual Life Prediction including Outlier Elimination for Condition Based Maintenance

نویسندگان

  • Satoru Goto
  • Kenta Tsukamoto
چکیده

A method of on-line residual life prediction is proposed for condition based maintenance of industrial equipment. With on-line monitoring of condition of the industrial equipment, the residual life is evaluated by using on-line prediction of the equipment deterioration. The deterioration prediction is based on an on-line identification of the mathematical model of deterioration process. To improve the accuracy of the deterioration prediction, outlier elimination technique is introduced. The proposed method was applied to actual data of rotating equipment in a thermal power plant and the results verified the effectiveness of the proposed method.

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تاریخ انتشار 2012