Model-Based Fault Diagnosis of an Automated Manual Transmission Shifting ActuatorShow others and affiliations
2015 (English)In: Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'15, Elsevier, 2015, Vol. 48, no 21, p. 1479-1484Conference paper, Published paper (Refereed)
Abstract [en]
This paper presents a model-based methodology of residuals design for fault diagnosis of an Automated Manual Transmission (AMT) shifting actuator by employing Structural Analysis (SA). A group of sensors are suggested to obtain the maximal capability of Fault Detection and Isolation (FDI) after performing SA. Then, Minimal Structurally Over-determined (MSO) sets are identified to generate four residuals. To ensure stable and robust residuals, concepts from Analytical Redundant Relation (ARR) and observer-based parameter evaluation techniques are utilized. The proposed FDI scheme for AMT actuator has been successfully tested and verified using numerical simulations in MATLAB Simulink. The presented scheme offers a cost effective solution by using only two sensors to monitor five critical faults in AMT actuator.
Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 48, no 21, p. 1479-1484
Series
IFAC-PapersOnLine, ISSN 1045-0823, E-ISSN 1797-318X ; Vol. 48, Issue 21
Keywords [en]
Model-Based Fault Diagnosis Structural Analysis (SA) Shifting Actuator Automated Manual Transmission (AMT)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137774DOI: 10.1016/j.ifacol.2015.09.733OAI: oai:DiVA.org:liu-137774DiVA, id: diva2:1101724
Conference
9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'15, 2-4 September, Paris, FRANCE
2017-05-292017-05-292021-12-28Bibliographically approved