Prognostic methodology for health management of electrical equipments of propulsion system in a type of vessel based on artificial immune algorithm

The propulsion system of a vessel is the key facility to guarantee its safe sail and reliable implementation. However there is a complex network of electrical equipments in the propulsion system, in which every component should be reliable enough in order to guarantee the vessel always running in a well health state. In this paper, in view of the health management of electrical equipments of propulsion system in a type of vessel, a prognostic methodology of health state is proposed based on artificial immune algorithm. Some hazard devices which have high probability to cause the system into failure and their monitored order which can be computed based on their hazard degree to system and affinity to fault devices, can both be acquired on the basis of some failure data and current data via artificial immune algorithm. Meanwhile, some parameters of these devices which should be specially monitored can also be obtained to help operators predict the failure of system. This paper will also employ some failure data from electrical equipments of propulsion system in a type of vessel and some simulative data to demonstrate how artificial immune algorithm can be applied in prognosis of this electrical system.