Applications of Information Fusion Based on Fuzzy Neural Network to Rotating Machinery Fault Diagnosis

The faults of key equipments in continuous production system often affect the entire production system and result in major economic loss, so fault diagnosis technology of machinery has become an important research direction in the field of machinery and measurement. This paper takes rotating machinery vibration as the main research object and research the prediction method of fault diagnosis of rotating machinery based on vibration. Aiming at the typical faults of rotating machinery, it introduces the extraction of fault characteristic parameters and data processing methods, and constructs a model of fault diagnosis based on fuzzy neural network and process network optimization. The validity of the model is verified based on simulation of production process.