Integrated condition monitoring and prognosis method for incipient defect detection and remaining life prediction of low speed slew bearings

Integrated condition monitoring and prognosis method for incipient defect detection and remaining life prediction of low speed slew bearings

This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps. Step (1) is the detection of the incipient slew bear...

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書目詳細資料
Main Authors:	Caesarendra, Wahyu, Tjahjowidodo, Tegoeh, Kosasih, Buyung, Tieu, Anh Kiet
其他作者:	School of Mechanical and Aerospace Engineering
格式:	Article
語言:	English
出版:	2018
主題:	DRNTU::Engineering::Mechanical engineering Condition Monitoring Kernel Regression
在線閱讀:	https://hdl.handle.net/10356/88423 http://hdl.handle.net/10220/45773
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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