Concurrent estimation of time-to-failure and effective wear

dc.contributor.author	Loecher, Markus
dc.contributor.author	Darken, Christian J.
dc.contributor.other	MOVES Institute
dc.date	2003
dc.date.accessioned	2013-09-25T22:58:02Z
dc.date.available	2013-0po9-25T22:58:02Z
dc.date.issued	2003
dc.identifier.citation	Proceedings of the Maintenance and Reliability Conference (MARCON) 2003.
dc.identifier.uri	http://hdl.handle.net/10945/36619
dc.description.abstract	We propose a novel algorithm for the estimation of remaining lifetime of a generic device based on an intuitive and widely applicable model of failure due to accumulation of effective wear. The simultaneous quantification of an abstract, multivariate wear function is achieved by a new learning algorithm which we term "cumulative effect regression". We develop the theory of the algorithm and compare its performance to traditional anomaly and pattern detection tools. Experimental results from X-ray tubes strongly validate the algorithm and demonstrate the utility of Operating Characteristics (OC) curves as a powerful evaluation tool.	en_US
dc.rights	This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.	en_US
dc.title	Concurrent estimation of time-to-failure and effective wear	en_US
dc.contributor.corporate	Naval Postgraduate School, Monterey, California
dc.contributor.department	Computer Science (CS)

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