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Method Research on Information Fusion of Reciprocating Machinery Fault Diagnose

The reciprocating machinery has complicated structure, various motion forms and high difficulty of fault diagnosis, now we mainly apply the multi-sensor information fusion as the effective solution. This thesis introduces the structure model of reciprocating machinery information fusion, establishes the tree diagnosis model for fault diagnosis feature information fusion of reciprocating engine, describes the fusion diagnosis steps, and puts forward the technological approaches and methods to solve fault diagnosis information fusion of reciprocating engine from the aspect of testing methods and diagnosis modeling.