Abstract
The issue of overall fault diagnosability evaluation is addressed to provide a standard for system design from the fault diagnosis perspective. An overall fault diagnosability measure is first defined statistically by combining quantitative and qualitative evaluation results. On this basis, a randomized algorithm-based method is developed for estimating this quantitative–qualitative measure with a preset accuracy. Then, a tractable method for computing the lower bound of the measure is created, which provides a way to assess fault diagnosis performance without a large computational burden. Finally, a spacecraft attitude control system is used to verify the effectiveness of the proposed methods.
| Original language | English |
|---|---|
| Article number | 110591 |
| Journal | Automatica |
| Volume | 146 |
| DOIs | |
| State | Published - Dec 2022 |
Keywords
- Dynamic systems
- Fault diagnosability
- Kullback–Leibler divergence
- Overall evaluation
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