A pattern recognition approach for anomaly detection on buses brake system
Diagnosis of complex systems refers to the problem of identifying a breakdown or a failure based on an inspection, a control or a test. Monitoring such industrial complex systems is essential to schedule relevant maintenance actions. The authors consider an automotive subsystem to monitor: the brake system, because of its impact on the vehicle's availability. Through a European project, data are acquired via in-vehicle communication protocols and additional sensors. This work aims at developing remote diagnostic and maintenance support tools driven by these data. The authors' approach combines an analytic model and detection techniques in order to monitor the brake system. The authors provide experimental results on vehicle data using two multivariate detection methods.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6069628
-
Supplemental Notes:
- Abstract reprinted with permission of IEEE.
-
Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Cheifetz, N
- Same, A
- Aknin, P
- de Verdalle, E
-
Conference:
- 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
- Location: Washington DC, United States
- Date: 2011-10-5 to 2011-10-7
- Publication Date: 2011-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 266-271
- Monograph Title: 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
Subject/Index Terms
- TRT Terms: Brakes; Buses; Decision support systems; Flaw detection; Pattern recognition systems; Remote sensing; Sensors; Transit buses; Vehicle maintenance
- Uncontrolled Terms: Remote diagnostics
- Subject Areas: Highways; Vehicles and Equipment; I95: Vehicle Inspection;
Filing Info
- Accession Number: 01565619
- Record Type: Publication
- ISBN: 9781457721984
- Files: TRIS
- Created Date: Jun 2 2015 5:14PM