Condition monitoring for multi-phased mission system based on sequential local information increment

Purpose Multi-phased mission system (MPMS) shows characteristics with multi-phase, uneven-length mission phase and different change trends per run, which bring new challenges on modelling and monitoring for the system. The purpose of this paper is to present a sequential local information increment-based condition monitoring method for the MPMS. Design/methodology/approach Firstly, the sequential local information increment is used to divide uneven-length mission phases. Local information gain indices are deduced through the local information increment, and then the information gain indices of the global mutations can be used to identify the transition point of the mission phase. Here, the sequential movement strategy reveals the order and real-time nature of the method. To ensure the accuracy of the division, a sliding window is used to specify the search range for the information gain index, and an adjusting strategy is used to determine the appropriate phase dividing parameter. Then, considering the uneven-length mission phase and the trends of change in mission phases may be different, similarity analysis is utilized to identify similar mission phases. Finally, several monitoring sub-models are developed for the divided mission phases based on principal component analysis, respectively. Findings Simulation for quick access recorder flight data illustrates that the proposed method can effectively reduce the false alarm rate and missed alarm rate. Originality/value This paper provides a sequential local information increment-based condition monitoring method for the MPMS.