Failure Risk Assessment of Functional Modules of Shipboard Equipment Based on Data Fusion

In view of the difficulties in assessing the failure risk of shipborne equipment, the focus of risk prevention is only determined by job experience, and the lack of quantitative decision support for equipment preventive maintenance and spare parts procurement and storage, a data fusion-based research on the failure risk assessment of shipborne equipment functional modules has been carried out. On the basis of comprehensive consideration of the signal transmission process of the shipboard equipment system, the proportion of spare parts reserve, historical failure conditions, condition monitoring methods and other factors, the genetic algorithm-based equipment function module failure risk assessment model was constructed, and the model was verified through examples. And the feasibility and rationality of the algorithm.