Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach

This paper is concerned with the intermittent fault detection problem for a class of discrete-time linear systems with output dead-zone. dead-zone phenomenon exists in many real practical systems due to the employment of low-cost commercial off-the-shelf sensors. two bernoulli random variables are utilized to model the dead-zone effect and a variant formation of tobit kalman filter is brought forward to generate a residual that can indicate the occurrence of an intermittent fault. a numerical example is presented to demonstrate the effectiveness and applicability of the proposed technique. the statistical performance of the technique is illustrated as well. © 2017 jie huang and xiao he.