Abstract
In order to guarantee high reliability, safety and supportability of passenger aircraft, they are usually equipped with prognostics and health management (PHM) to realize reliable operation and health service. This paper introduces the prognostics and health management structure based on on-board monitoring system, air-ground data link and ground maintenance management system under open standards and three-level reasoning. With the multiple data resources from on-board sensors network, historical flight data and maintenance data, this paper gives the way to extract the failure features robustly. Through the hierarchy design, aircraft prognostics and health management adopts the intelligent fault diagnosis algorithm based on hierarchy clustering and enhanced cross check to realize high precision fault diagnosis and isolation. Even in the aircraft health service, the prognostics and health management can also predict the failure based on data driven reasoning, knowledge and failure physics, and then provide the condition-based maintenance strategy. Finally, this paper gives the prognostics and health management evaluation and applicability analysis of the corresponding technology of PHM.
| Original language | English |
|---|---|
| Pages (from-to) | 1459-1472 |
| Number of pages | 14 |
| Journal | Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica |
| Volume | 35 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2014 |
Keywords
- Aircraft airborne system
- Failure prediction
- Fault diagnosis reasoning
- Health management
- Supportability evaluation
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