Author :
Zeng, Zhaoyang ; Ren, Zhanyong ; Wu, Yueqin
Abstract :
Airborne prognostics and system health management (PHM) system is a very important part of aircraft autonomous logistics support system. To achieve autonomous logistics support mode, improve aircraft operational readiness, reduce life cycle cost, PHM technology is one of the key technologies. Capabilities that airborne PHM system detect fault, isolate fault and forecast fault directly determine the effectiveness of the work of aircraft maintenance. It also influences aircraft economy, availability and security. Airborne PHM system adopts a hierarchical architecture. Using built-in test equipment (BITE) and sensors, PHM system collects data that reflect characterization of failures and faults trends. With the advanced algorithms and intelligent model to monitor, diagnose, predict and manage the status of the aircraft. Furthermore, accurate fault detection, isolation and projections are achieved. At present, fault detection, isolation and predictive measurement and verification methods in MIL-STD2165, GJB2547, GJB2072 and GJB1909 have not fully applicable to the PHM system. In this paper, based on detail analysis of the relevant standards for airborne PHM system and airborne PHM system function and work flowchart, according to design features of airborne PHM system architecture and in accordance with the different levels of system design, index requirements of sensor-BITE, regional manager and aircraft platform manager are proposed respectively. The index system of airborne PHM system is established. At the same time, a verification method of airborne PHM system is derived. That is, ?hierarchical verification, comprehensive evaluation? method. Utilizing validation results of underlayer indexes including the design capacity of board level and equipment level built-in test (BIT), fault diagnostic model of regional platform manager and so on, we validate top-level requirements of airborne PHM system by comprehensive evaluation.
Keywords :
aircraft maintenance; built-in self test; condition monitoring; cost reduction; fault diagnosis; logistics; security; GJB1909; GJB2072; GJB2547; MIL-STD2165; airborne prognostics system; airborne system health management system; aircraft autonomous logistics support system; aircraft economy; aircraft maintenance; aircraft operational readiness; comprehensive evaluation method; fault detection; fault forecasting; fault isolation; fault projection; hierarchical architecture; hierarchical verification method; index technology; life cycle cost reduction; predictive measurement; security; sensor-built-in test equipment; sensors; system design; work flowchart; Aircraft; Built-in self-test; Costs; Data security; Economic forecasting; Fault detection; Intelligent sensors; Isolation technology; Logistics; Prognostics and health management; Airborne prognostics and system health management; indexes system; verification;
