Fault Diagnosis Method of Ship Main Machinery Based on Information Fusion Technology

There are many problems in the traditional diagnosis methods of ship main mechanical fault, so the research on the diagnosis method of ship main mechanical fault based on information fusion technology is put forward. According to the actual situation and the existing literature, this paper analyzes the main types of mechanical faults of ships, on this basis, obtains the main mechanical information, processes the information by the polynomial least square method, extracts the main mechanical information characteristic parameters by the neural network algorithm, and introduces the information according to the extracted main mechanical information characteristic parameters of ships Information fusion technology, through the calculation of the diagnosis results, realizes the main mechanical fault diagnosis of the ship based on information fusion technology. The experimental results show that the proposed method is feasible and greatly reduces the diagnostic error, which fully shows that the proposed method has better diagnostic performance.