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Intelligent fault detection scheme for drilling process

Paul, Satyam; Lofstrand, Magnus

Authors

Magnus Lofstrand



Abstract

Automatic fault detection system is an important aspect of an industrial process. The technique of fault detection helps in minimizing equipment downtime thus making it a cost effective process. In this paper, an innovative model-based fault detection (FD) system is combined with interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy system. This methodology is implemented for the detection of the faults in the drill bit of the drilling system. The proposed methodology validates the stability of the fault detection system in the presence of system uncertainties. Numerical analysis is carried out to prove the effectiveness of the theoretical approach. The fuzzy based fault detection technique can be implemented in real time for detecting faults during downhole drilling operations with assured stability of the fault detector system.

Citation

Paul, S., & Lofstrand, M. (2020). Intelligent fault detection scheme for drilling process. https://doi.org/10.1109/iccma46720.2019.8988616

Conference Name 2019 IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA 2019
Conference Location Delft, Netherlands
Start Date Nov 6, 2019
End Date Nov 8, 2019
Acceptance Date Oct 4, 2018
Online Publication Date Feb 10, 2020
Publication Date Feb 10, 2020
Deposit Date Mar 9, 2020
Pages 347-351
ISBN 9781728137872
DOI https://doi.org/10.1109/iccma46720.2019.8988616
Public URL https://uwe-repository.worktribe.com/output/5628847