Title :
Non-redundancy based approach to validate a measuring device [pressure sensors]
Author :
Ma, J. ; Amadi-Echendu, J.E. ; Yan, Y.
Author_Institution :
Sch. of Eng., Univ. of Greenwich, London, UK
Abstract :
The wideband signal taken directly from a sensor can be processed to provide two metrics for validating the measurement device. This can reduce reliance on hardware and functional redundancy, and minimise the complexities associated with redundancy based validation systems. This paper describes some of the results of an approach which is based on applying a number of signal processing algorithms on the signal representing the total response of the sensor to the process. The parameters derived from the algorithms provide the input vector to a feedforward backpropagation neural network which determines the value of two validation metrics namely device state and process state. The proposition is that validation should commence at the physical interface to the process right through the hierarchy of operations in plant control, maintenance, and management
Keywords :
backpropagation; feedforward neural nets; pressure sensors; signal processing; time series; wavelet transforms; device state; input vector; maintenance; neural network; nonredundancy based approach; physical interface; plant control; pressure sensors; process state; sensors; signal processing algorithms; total response; validation metrics; Costs; Hardware; Intelligent sensors; Neural networks; Pressure control; Sensor phenomena and characterization; Signal analysis; Signal processing; Signal processing algorithms; Wideband;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-3747-6
DOI :
10.1109/IMTC.1997.604007