NDLI: Research on indexes and verification technology of airborne PHM system

Content Provider	IEEE Xplore Digital Library
Author	Zhaoyang Zeng Zhanyong Ren Yueqin Wu
Copyright Year	2010
Description	Author affiliation: China Aero-Polytechnology Establishment, Beijing, China, 100028 (Zhaoyang Zeng; Zhanyong Ren; Yueqin Wu)
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.
Starting Page	1
Ending Page	6
File Size	1195240
Page Count	6
File Format	PDF
ISBN	9781424447565
e-ISBN	9781424447589
DOI	10.1109/PHM.2010.5413440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-12
Publisher Place	Macao
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Data security Built-in self-test Prognostics and health management Intelligent sensors Airborne prognostics and system health management Fault detection indexes system Isolation technology Economic forecasting Aircraft verification Logistics
Content Type	Text
Resource Type	Article

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