Abstract
Reliability assessment of complex systems is an important yet difficult task. The difficulty arises largely because of heterogeneous component-level data, for example, lifetime data, degradation data, component-level assessment results, and prior information. A method for reliability assessment is developed in this article for systems plagued by degradation and lifetime data. Our framework divides component-level information into two types. These two types are then combined using a systematic approach. This article describes the method along with some application examples that demonstrate the approach capable of overcoming several difficulties associated with conventional reliability assessment approaches.
Original language | English |
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Pages (from-to) | 676-686 |
Number of pages | 11 |
Journal | Quality Engineering |
Volume | 30 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2 Oct 2018 |
Externally published | Yes |
Keywords
- MLE
- Weibull distribution
- component information
- degradation models
- pivot
- system reliability assessment