International journal of online engineering | |
Health Monitoring and Diagnosis of Equipment Based on Multi-sensor Fusion | |
Xuemei Yao1  | |
关键词: Multi-sensor fusion; Monitoring and diagnosis; Evidence theory; Robustness; | |
DOI : | |
学科分类:社会科学、人文和艺术(综合) | |
来源: International Association of Online Engineering | |
【 摘 要 】
As the information measured by a single sensor cannot reflect the real situation of mechanical devices completely, a multi-sensor data fusion based on evidence theory is introduced. Evidence theory has the advantage of dealing with uncertain information. However, it produces unreasonable conclusions when the evidence conflicts. An improved fusion method is proposed to solve this problem. Basic probability assignment of evidence is corrected according to evidence and sensor weights, and an optimal fusion algorithm is selected by comparing an introduced threshold and a conflict factor. The effectiveness and practicability of the algorithm are tested by simulating the monitoring and diagnosis of rolling bearings. The result shows that the method has better robustness.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201910258889138ZK.pdf | 1588KB | download |