Architecture and Function Modeling Research on Fusion Diagnosis of Reciprocating Engineering Fault

Abstract:

On the basis of complicated structure, various movement forms and high difficulty of fault detection for reciprocating engine, we have implemented the research on fault diagnostic approach by multi-sensor information, carried out the multi-source information fusion based on crankshaft phase signal, vibration signal, ultrasonic signal, pressure signal, ignition voltage signal and oil analysis information, created distributed structure model with multi-source information fusion, explained the parallel, distributed, serial and tree topology structure models, and established total model for multi-source information fusion of reciprocating engine fault diagnosis.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 934-937
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.934
• Online since: August 2013
• Authors: Li Yong Wang, Le Li, Yang Long Li
• Keywords: Fault Diagnosis, Information Fusion, Reciprocating Machinery

References

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DOI: 10.1002/ecjb.20074