Experimental studies on faults detection using residual generator

Faults detection and isolation method using adaptive residual generator

“…Residuals are generated from the observable variable of the monitored plant that is, from the command values of the con-trolled inputs and outputs [1,2]. However, the presence of disturbances, noise and modelling errors also causes the residuals to become nonzero and thus to interfere with the detection of faults.…”

“…When a particular fault occurs, some of the residuals respond and others do not. Then the pattern of the response set and the fault signature or fault code are characteristic to the particular fault [1,2,3]. Example of fault code: The above fault code implies that fault L 1 affects only residual R 1 like L 2 affects R 2 .…”

“…Therefore in order to enhance the fault isolation it is required to transform the residuals. To transform raw residual R(q) into structured form R 1 (q), multiply R(q) with weighting matrix W(q) [1,2,3]:…”

“…A fault is any kind of malfunction in a system that is a deviation from the normal behaviour in the plant or its instrumentation [2,4]. Fault detection is the indication that something is going wrong in the monitored system.…”

“…Fault isolation is the determination of the exact location of the fault (the component which is faulty) [4]. It was proposed many different approaches to Fault Detection and Isolation (FDI) based either on the model of the system (analytical methods) [2,4] or on the knowledge about the system (heuristic methods) [2,3,4].…”