Active fault detection: A comparison of probabilistic methods

12th European Workshop on Advanced Control and Diagnosis

Škach, Jan^1 ; Punochá, Ivo^1

Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Technická 8, Plze

30614, Czech Republic^1

关键词: Active fault;    Auxiliary inputs;    Monitored systems;    Probabilistic methods;    Selection error;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012046/pdf
DOI  :  10.1088/1742-6596/659/1/012046

来源: IOP

【 摘 要 】

The paper deals with probabilistic methods for designing the active fault detectors that improve the quality of detection using an auxiliary input signal. Two probabilistic methods that assume a similar stochastic model of a monitored system are considered and compared with a special attention to various difficulties associated with active fault detector designs. The active fault detector design based on a general detection cost function is compared with the model sequence selection error minimization design in terms of assumptions and theoretical properties. Practical aspects of both methods are also considered and demonstrated through a numerical example.