NDLI: Agent-based real-time fault diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Jianhui Luo Pattipati, K.R. Liu Qiao Chigusa, S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Connecticut Univ., Storrs, CT (Jianhui Luo; Pattipati, K.R.)
Abstract	Theory and applications of model-based fault diagnosis have progressed significantly in the last four decades. In addition, there has been increasing use of model-based design and testing in automotive industry to reduce design errors, perform real-time simulations for rapid prototyping, and hardware-in-the-loop testing. For vehicle diagnosis, a global diagnosis method, which collects the diagnostic information from all the subsystem electronic control units (ECUs), is not practical because of high communication requirements and time delays induced by centralized diagnosis. Consequently, an agent-based distributed diagnosis architecture is needed. In this architecture, each subsystem resident agent (embedded in the ECU) performs its own fault inference and communicate the diagnostic results to a vehicle expert agent. A vehicle expert agent performs cross-subsystem diagnosis to resolve conflicts among resident agents, and to provide an accurate vehicle-level diagnostic inference. In this paper, we propose a systematic way to design an agent-based diagnosis architecture. A hybrid model-based technique that seamlessly employs a graph-based dependency model and quantitative models for intelligent diagnosis is applied to each individual ECU. Diagnostic tests for each individual ECU are designed via model-based diagnostic techniques based on a quantitative model. The fault simulation results, in the form of a diagnostic matrix, are extracted into a dependency model for fast fault inference by a resident agent. The global diagnostic inference is performed through a vehicle expert agent that trades off computational complexity and communication load. This architecture is demonstrated on the engine air induction subsystem. The solution is generic and can be applied to a variety of distributed control systems
Starting Page	3632
Ending Page	3640
File Size	9295892
Page Count	9
File Format	PDF
ISBN	0780388704
DOI	10.1109/AERO.2005.1559668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Vehicles Testing Automotive engineering Performance evaluation Virtual prototyping Centralized control Communication system control Delay effects Computational modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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