Sensor failure detection of air quality monitoring network
Résumé
Fault detection and process monitoring using principal component analysis (PCA) has been studied intensively and largely applied to industrial processes. This paper proposes an approach to sensor fault detection and isolation via principal component analysis and its application to sensor failure detection of an air quality monitoring network in Lorraine, France. The method suggested by Dunia et al. (1996) is sensitive to model errors. For this reason, a test on the last principal components is proposed for the detection and the localisation of sensor failure.