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Adaptive fuzzy-statistical decision model to grade sensor data

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2 Author(s)
Rokonuzzaman, M. ; Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John''s, Nfld., Canada ; Gosine, R.G.

Data from different sensors are fused to measure process parameters having certain domains of values and variances. The data quality is function of the operating states of the sensors. The measurement of the quality of these data is important for the reliable operation of the system. In this work, a fuzzy-statistical decision model has been proposed to grade sensor data. The proposed method is simple and adaptive. A packet oriented grading scheme has been proposed to detect both intermittent, transient and permanent faults of the sensors in a single session

Published in:

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on  (Volume:2 )

Date of Conference:

25-28 May 1997