کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
560941 | 875226 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Mechanical systems hazard estimation using condition monitoring
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Mechanical systems hazard estimation using condition monitoring Mechanical systems hazard estimation using condition monitoring](/preview/png/560941.png)
چکیده انگلیسی
The ability to predict hazards of mechanical systems accurately can significantly enhance the predictive maintenance task. However, predicting hazards of systems accurately is non-trivial, especially when historical failure data are sparse or zero. The proposed proportional covariate model (PCM) overcomes this difficulty. This paper describes the concepts of PCM briefly and focuses on the estimation of the hazards of mechanical systems using accelerated life tests and condition monitoring data. This new approach to hazard estimation can reduce the number of accelerated life tests significantly. The hazard estimation can further be refined and updated with on-line condition monitoring data on a continual basis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 20, Issue 5, July 2006, Pages 1189–1201
Journal: Mechanical Systems and Signal Processing - Volume 20, Issue 5, July 2006, Pages 1189–1201
نویسندگان
Yong Sun, Lin Ma, Joseph Mathew, Wenyi Wang, Sheng Zhang,