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A case study in on-line intelligent sensing

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3 Author(s)
Moran, A.W. ; Sch. of Electr. & Electron. Eng., Queen''s Univ., Belfast, UK ; O'Reilly, P. ; Irwin, G.W.

A new method is described for online detection of parameter changes in a sensor. This is based on work by Yung and Clarke (1989) which employs a local ARIMA model of the sensor output to generate an innovation sequence. A statistical test, which quantifies the change to the variance of an innovation sequence, is developed and used to provide a decision process based on a likelihood ratio of probabilities. Real-time experimental results for detecting a change in a thermocouple time-constant are presented

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American Control Conference, 2000. Proceedings of the 2000  (Volume:6 )

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