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

Abstract EN

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.