期刊名称：International Journal of Computer, Information, and Systems Science, and Engineering
印刷版ISSN：1307-2331
出版年度：2007
卷号：1
期号：2
出版社：World Academy of Science, Engineering and Technology
摘要：The new idea of this research is application of a new
fault detection and isolation (FDI) technique for supervision of
sensor networks in transportation system. In measurement systems, it
is necessary to detect all types of faults and failures, based on predefined
algorithm. Last improvements in artificial neural network
studies (ANN) led to using them for some FDI purposes. In this
paper, application of new probabilistic neural network features for
data approximation and data classification are considered for
plausibility check in temperature measurement. For this purpose,
two-phase FDI mechanism was considered for residual generation
and evaluation.
关键词：Fault detection and Isolation, Neural network,
Temperature measurement, measurement approximation and
classification.
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