A Real-time Remote Fault Diagnosis System for Marine Vessels with Simulation Studies
Guang Sheng Ren · Acta Simulata Systematica Sinica · 2002
This paper introduces an intelligent real-time remote fault diagnosis system for the devices on marine vessels. On the basis of data channel consisting of INMARSAT-B and Internet, the continuous attribute values are clustered by means of the Self-organizing Feature Map, and the Rough Set theory is used in producing decision rules for the fault diagnosis expert system. The paper also introduces an Internet consultation method held by experts in marine headquarters, which acts as technological support for marine vessels along with the intelligent diagnosis system. The feasibility of the system has been testified by primary simulations conducted in laboratory.