A modular adaptive residual generator for a diagnostic system that detects sensor faults on engine test beds

Abstract It is a great challenge to apply a diagnostic system for sensor fault detection to engine test beds. The main problem is that such test beds involve frequent configuration changes or a change in the entire test engine. Therefore, the diagnostic system must be highly adaptable to different types of test engines. This paper presents a diagnostic method consisting of the following steps: residual generation, fault detection and fault isolation. As adaptability can be achieved with residual generation, the focus is on this step. The modular toolbox-based approach combines physics-based and data-driven modeling concepts and, thus, enables highly flexible application to various types of engine test beds. Adaptability and fault detection quality are validated using measurement data from a single-cylinder research engine and a multicylinder diesel engine.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: A modular adaptive residual generator for a diagnostic system that detects sensor faults on engine test beds ; volume:11 ; number:1 ; year:2022 ; pages:99-107 ; extent:9 ; Journal of sensors and sensor systems ; 11, Heft 1 (2022), 99-107 (gesamt 9)

Contributors, Places and Time

• Creator: Wohlthan, Michael ; Pirker, Gerhard ; Wimmer, Andreas

Further information

• DOI: 10.5194/jsss-11-99-2022
• URN: urn:nbn:de:101:1-2022040110103988142016
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:26 AM CEST