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Sensors 2018, 18(3), 702; https://doi.org/10.3390/s18030702

Auto-Calibration and Fault Detection and Isolation of Skewed Redundant Accelerometers in Measurement While Drilling Systems

1
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran 14778-9385, Iran
2
School of Railway Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
3
Control and Intelligent Processing, Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran 14395-515, Iran
4
Department of Electrical Engineering, Malek-Ashtar University of Technology, Tehran 15875-1774, Iran
*
Author to whom correspondence should be addressed.
Received: 6 January 2018 / Revised: 15 February 2018 / Accepted: 19 February 2018 / Published: 27 February 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
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Abstract

The present study designed skewed redundant accelerometers for a Measurement While Drilling (MWD) tool and executed auto-calibration, fault diagnosis and isolation of accelerometers in this tool. The optimal structure includes four accelerometers was selected and designed precisely in accordance with the physical shape of the existing MWD tool. A new four-accelerometer structure was designed, implemented and installed on the current system, replacing the conventional orthogonal structure. Auto-calibration operation of skewed redundant accelerometers and all combinations of three accelerometers have been done. Consequently, biases, scale factors, and misalignment factors of accelerometers have been successfully estimated. By defecting the sensors in the new optimal skewed redundant structure, the fault was detected using the proposed FDI method and the faulty sensor was diagnosed and isolated. The results indicate that the system can continue to operate with at least three correct sensors. View Full-Text
Keywords: accelerometer; auto-calibration; directional drilling; fault diagnosis and isolation; measurement while drilling (MWD); optimal skewed structure accelerometer; auto-calibration; directional drilling; fault diagnosis and isolation; measurement while drilling (MWD); optimal skewed structure
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Seyed Moosavi, S.M.; Moaveni, B.; Moshiri, B.; Arvan, M.R. Auto-Calibration and Fault Detection and Isolation of Skewed Redundant Accelerometers in Measurement While Drilling Systems. Sensors 2018, 18, 702.

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