| Issue |
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 5 | |
| Section | Environmental and Industrial Design | |
| DOI | https://doi.org/10.1051/e3sconf/202017902001 | |
| Published online | 23 July 2020 | |
Research on Multi-element Fusion of Equipment Fault Monitoring Based on Evidence Theory
1 School of Business, Anhui Xinhua University, 230031, China
2 School of Maoyin Finance, Anhui Finance & Trade Vocational College, 230031, China
The multi-information fusion method of health monitoring based on evidence theory is used to study the problem of equipment fault diagnosis. The multi-information of fault monitoring is fused by the evidence theory and the reliability of the relevant evidence can be judged according to the ambiguity and uncertainty of the fault monitoring signal. Also it can determine the importance and reliability of the evidence from different sources. The data from multi-information fusion has higher reliability and accuracy which provides more reliable data for fault diagnosis.
© The Authors, published by EDP Sciences, 2020
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