Abstract
Distributed industrial systems present increasing risk as assets age. For systems such as pipelines and utility corridors, the cost of inspection to mitigate this risk needs to be controlled without compromising reliability. Major elements of remote inspection cost and effectiveness are the number of personnel, where they are located, inspection quality control, and travel time. One approach to reduce such costs is to use robotic systems for information gathering and preliminary feature extraction to detect anomalies and identify faults and their location. A combination of aerial and terrestrial robots can be deployed to cover the territory of interest and collect information necessary to extract features of interest in a timely manner. A system conceptual design is reviewed, and specific elements for a robotic mission to monitor the integrity of a pipeline and characteristics of a mine tailings structure are presented and discussed, with options for condition indicator data collection and feature extraction. Strategies are discussed for ensuring that the robotic inspection system itself has high reliability. Preliminary development and testing results for two prototype robotic systems are presented.
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Acknowledgments
The authors wish to thank the Natural Sciences and Engineering Research Council of Canada and the University of Alberta for funding support.
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Lipsett, M.G., Yuen, J.D., Olmedo, N.A., Dwyer, S.C. (2014). Condition Monitoring of Remote Industrial Installations Using Robotic Systems. In: Lee, J., Ni, J., Sarangapani, J., Mathew, J. (eds) Engineering Asset Management 2011. Lecture Notes in Mechanical Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4993-4_21
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DOI: https://doi.org/10.1007/978-1-4471-4993-4_21
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