This paper presents a fault detection, diagnosis, and reconfiguration method based on support vector machines. This method is appropriate for certain or predetermined faults and involves a fault detection and diagnosis unit and an online controller selection type reconfiguration mechanism. In this method, when a fault is detected and diagnosed by the fault detection and diagnosis unit, a suitable controller, which has been determined via an optimization algorithm in an off-line fashion, is activated to maintain proper closed-loop performance of the system in an on-line manner. In the detection, diagnosis, and reconfiguration stages of the method, support vector classification and regression machines are used and the performance is tested on a simulation model of a two-tank level control system for various fault scenarios.
KABAOĞLU, RANA ORTAÇ
"A fault detection, diagnosis, and reconfiguration method via support vector machines},"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23:
2, Article 19.
Available at: https://journals.tubitak.gov.tr/elektrik/vol23/iss2/19