Flight control system reliability study based on hIdden Markov Model imperfect fault coverage model-Hidden Markov Model

The reliability level of the flight control system (FCS) is one of the most important factor for air vehicle safety. Modern FCS usually use redundancy technology and built-in test (BIT) technology to improve the system reliability. However, false alarm (FA), missed alarm (MA) of BIT, the fault coverage and the system state-transition often decrease the system reliability performance. This paper studies the system imperfect fault coverage model (IFCM).This study is based on the overall consideration of the effect on the similar parallel redundancy FCS reliability, which is caused by FA and MA when measuring the fault coverage probability´s effect to the system reliability. We use the Hidden Markov Model (HMM) to improve BIT measurement capability of the system status transition, and define the system real state. Compared with traditional approaches, the new model has broader applications and provides a better reference for air vehicle flight safety assessment in complex circumstances.