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Article: New manufacturing engineering study findings have been reported by A. Elwany and co-researchers.
- Article from:
- Journal of Engineering
- Article date:
- November 11, 2009
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"Advances in sensor technology have led to an increased interest in using degradation-based sensory information to predict the remaining lives of partially degraded components and systems. This paper presents a stochastic degradation modeling framework for computing and continuously updating remaining life distributions (RLDs) using in situ degradation signals acquired from individual components during their operational lives," scientists writing in the Journal of Manufacturing Science and Engineering - Transactions of the ASME report.
"Unfortunately, these sensory-updated RLDs cannot be characterized using parametric distributions and their moments do not exist. ...