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A design methodology for robust model-based fault diagnosis schemes and its application to an aircraft hydraulic power package
Publikationstyp
Conference Paper
Date Issued
2022-07
Sprache
English
Author(s)
Institut
Volume
7
Start Page
315--328
Citation
European Conference of the Prognostics and Health Management Society (PHM 2022)
Contribution to Conference
Publisher DOI
Peer Reviewed
true
In a system's design phase, where knowledge about the actual behavior of the system is shallow, the design of an efficient and robust system diagnostics is a complex task. In order to simplify this process, this paper presents a model-based methodology for the design of fault diagnosis schemes. The methodology analyzes the structure of available behavioral models of the system and proposes minimal sets of sensors to fulfill diagnostic requirements. In order to choose an optimal set of sensors, the method evaluates the sets in terms of costs and diagnostic robustness. The proposed fault detection, isolation and identification schemes rely on the robust evaluation of model-based residuals using Monte-Carlo methods and highest density regions to account for measurement and parameter uncertainty. To show the design capabilities, the presented method is applied to an aircraft hydraulic power package and the resulting schemes are tested on a real test rig.