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Model-Based Health Monitoring for a Vehicle Steering System With Multiple Faults of Unknown Types
2014
IEEE transactions on industrial electronics (1982. Print)
This paper presents a model-based fault diagnosis and prognosis scheme for a vehicle steering system. The steering system is modeled as a hybrid system with continuous dynamics and discrete modes using the hybrid bond graph tool. Multiple faults of different types, i.e., abrupt fault, incipient fault, and intermittent fault, are considered using the concept of Augmented Global Analytical Redundancy Relations (AGARRs). A fault discriminator is constructed to distinguish the type of faults once
doi:10.1109/tie.2013.2281159
fatcat:3wpleoibkbalhacyszmqe42ygm