State estimation for predictive maintenance using Kalman filter

doi:10.1016/S0951-8320(99)00015-0

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Yang, SK	en_US
dc.contributor.author	Liu, TS	en_US
dc.date.accessioned	2014-12-08T15:46:10Z	-
dc.date.available	2014-12-08T15:46:10Z	-
dc.date.issued	1999-10-01	en_US
dc.identifier.issn	0951-8320	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/S0951-8320(99)00015-0	en_US
dc.identifier.uri	http://hdl.handle.net/11536/31044	-
dc.description.abstract	Failure can be prevented in time by preventive maintenance (PM) so as to promote reliability only if failures can be early predicted. This article presents a failure prediction method for PM by state estimation using the Kalman filter on a DC motor. An exponential attenuator is placed at the output end of the motor model to simulate aging failures by monitoring one of the state variables, i.e. rotating speed of the motor. Failure times are generated by Monte Carlo simulation and predicted by the Kalman filter. One-step-ahead and two-step-ahead predictions are conducted. Resultant prediction errors are sufficiently small in both predictions. (C) 1999 Elsevier Science Ltd. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	Kalman filter	en_US
dc.subject	failure prediction	en_US
dc.subject	preventive maintenance	en_US
dc.subject	DC motor	en_US
dc.title	State estimation for predictive maintenance using Kalman filter	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/S0951-8320(99)00015-0	en_US
dc.identifier.journal	RELIABILITY ENGINEERING & SYSTEM SAFETY	en_US
dc.citation.volume	66	en_US
dc.citation.issue	1	en_US
dc.citation.spage	29	en_US
dc.citation.epage	39	en_US
dc.contributor.department	機械工程學系	zh_TW
dc.contributor.department	Department of Mechanical Engineering	en_US
dc.identifier.wosnumber	WOS:000082562000003	-
dc.citation.woscount	32	-
顯示於類別：	期刊論文

文件中的檔案：

000082562000003.pdf

若為 zip 檔案，請下載檔案解壓縮後，用瀏覽器開啟資料夾中的 index.html 瀏覽全文。