An effective fault detection approach for electrical equipment of propulsion system in a type of vessel based on subjective Bayesian principle

Electrical equipment in a vessel must endure threatening circumstance such as high humidity, high temperature, fierce shake, electromagnetic compatibility and others, which may result in the decrease of their reliability. Some faultinesses and bottlenecks caused in design and manufacturing process can also bring equipment into trouble. For the limitation of space in a vessel, a large number of equipments are located in some narrow places, which can bring the difficulty in eliminating faults and even in measuring some parameters to testify them. Because many kinds of electrical equipments cooperate to execute the same task for propulsion, lots of faults in different equipments can perform same breaker down appearances in this system. So it is a hard and crucial task for crew to rapidly detect and eliminate these faults to insure the safety of navigation. In this paper, The subjective Bayesian principle is employed to carry out the diagnosis decision, in the view of some uncertainties, so as to detect faults in these electrical equipments of propulsion system based on the former frequency of faults and potential priority level of measuring time and checkout time. Finally, a simulation experiment is made to validate and demonstrate the effectiveness of the method proposed in this paper.