Title :
A temperature sensor fault detector as an artificial neural network application
Author :
Postoache, O. ; Girão, P. Silva ; Ramos, Helena Geirinhas ; Pereira, J. M Dias
Author_Institution :
Fac. of Electr. Eng., Iasi Univ., Romania
Abstract :
The paper presents a fault detection method based on artificial neural network (ANN) capabilities applied in a particular case: a temperature virtual measurement system (VMS). A study concerning the ANN architectures and the ANN training rules involved in a fault detection procedure are also presented. The results obtained for the VMS based on a data acquisition board or on a GPIB controlled instrumentation highlight the general applicability of neural processing
Keywords :
automatic test equipment; data acquisition; fault diagnosis; learning (artificial intelligence); multilayer perceptrons; neural net architecture; peripheral interfaces; temperature measurement; temperature sensors; virtual instrumentation; ANN architectures; GPIB controlled instrumentation; artificial neural network application; automated measurement systems; data acquisition board; fault detection method; multilayer perceptron; neural processing; temperature sensor fault detector; training rules; virtual measurement system; Application software; Artificial neural networks; Circuits; Electrical fault detection; Fault detection; Instruments; Neurons; Temperature sensors; Voice mail; Voltage;
Conference_Titel :
Electrotechnical Conference, 1998. MELECON 98., 9th Mediterranean
Conference_Location :
Tel-Aviv
Print_ISBN :
0-7803-3879-0
DOI :
10.1109/MELCON.1998.692515
