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Autonomous plant inspection and anomaly detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1997) 1311 509-516
DOI: 10.1007/3-540-63508-4_162
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Abstract

We here present some results of an applied research work dealing with the problem of autonomous inspection in power plants. The aim of this effort is to actualize a qualitative and quantitative improvement over the methodologies currently adopted in routine plant reliability and safety operation. We want to reach this target by exploiting the advantages of the active approach to machine vision, the currently available robotic techniques, and the enhanced value of linking the robot to the plant informative system.

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APA

Gregori, M., Lombardi, L., Savini, M., & Scianna, A. (1997). Autonomous plant inspection and anomaly detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 509–516). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_162

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