Application of Sensor Fault Detection Scheme Based on AANN to Sensor Network

AANN-기반 센서 고장 검출 기법의 센서 네트워크에의 적용

NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from sensor network is executed.