Fault Detection and Diagnosis of Air-Conditioning Systems using Residuals

A model based fault detection and diagnosis scheme is proposed in this paper and a lumped parameter MIMO model has been considered. The characteristics of single as well as multiple faults using residuals are investigated in air-conditioning (AC) system provided in passenger coach of an Indian Railways. The residuals of the fault are generated by using real life simulator and model. The faults are diagnosed by classifying residual patterns. The classifications of residual patterns have been done by using three approaches: hexadecimal decision table, least square support vector machine (LS-SVM) and a novel approach named as hybrid classification approach.