School of Computing

Robust Autonomous Detection of the Faulty Sensors of a Sensor Array

Siddhartha Ghosh, Ian Marshall, and Alex Freitas

In 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2007, CAMPSAP 2007, pages 182-196. IEEE Signal Processing Society, December 2007.

Abstract

We propose a technique for the autonomous detection of the faulty sensors of a sensor array that are aberrant relative to the rest. Our approach is based on probabilistically modeling the distribution of the differences between the sensor measurements as a mixture of gaussians and then classifying further instances of the sensor differences using a naive bayes classifier. We demonstrate the applicability of this technique to the diagnosis of the sensors/photosites of a CCD array, using sensor array data comprising of randomly selected images. Our technique performs well for different combinations of parameter settings at the detection of the faulty photosites of a CCD array.

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Bibtex Record

@inproceedings{2629,
author = {Siddhartha Ghosh and Ian Marshall and Alex Freitas},
title = {Robust {A}utonomous {D}etection of the {F}aulty {S}ensors of a {S}ensor {A}rray},
month = {December},
year = {2007},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2007/2629},
    publication_type = {inproceedings},
    submission_id = {10131_1193770640},
    organization = {IEEE Signal Processing Society},
    booktitle = {2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2007, CAMPSAP 2007},
}

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