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 |
|---|---|
| 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