Fault diagnosis requires reasoning and decision-making based on diagnostic knowledge and features extracted from raw data. In practice, fault features may be uncertain and imprecise due to sensor errors, fluctuating working conditions, and limitations of feature extraction methods. Features may not
✦ LIBER ✦
Fault diagnosis of machines based on D–S evidence theory. Part 1: D–S evidence theory and its improvement
✍ Scribed by Xianfeng Fan; Ming J. Zuo
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 360 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0167-8655
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