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.