A method of multi-information fusion for fault diagnosis of large gearboxes in mining
Abstract
The method of multi-information fusion and its application in monitoring and fault diagnosis of large mining gearboxes are studied in this paper. In this application the structural characteristics of the belief function allow for its simplification and development of application specific functions. Based on simple belief function and using statistical method to create evidence model, a new simplified combination algorithm is inferred, different from the traditional Dempster’s rule. It has been proven that this new algorithm is effective and practical for oil analysis in the field of fault diagnosis.
Fields of Study & Subjects
Machine Fault Diagnosis Techniques
Multi-Criteria Decision Making
Technical Engine Diagnostics and Monitoring
Publication details
- Journal / source
- CRC Press eBooks
- Pages
- 751–754
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Book chapter