A Research on Fault Detection of Multi-State System Based on Hidden Markov Model

Different tasks and requirements make the system more and more modular and integrated. Its structures and levels are more and more complex, and more functions can be realized. Reliable operation and health management of systems have been an important elements for the success of the mission of systems. Then, the higher demands are presented for fault detection. In fact, there are various working states, and working state changed will bring the couplings in faults. Therefore, it is extremely significant for the multi-working states to identify working states. In this paper, combining multi-working states and the structure of hidden Markov model, based on the structure of hidden Markov model to deal with the three kinds of problems, the research identifying working states has been completed.