A data-driven fault isolability analysis method for gas pressure regulators

Yang Song; Jiajing Song; Yijia Lu

doi:10.1117/12.3055498

12 December 2024 A data-driven fault isolability analysis method for gas pressure regulators

Yang Song, Jiajing Song, Yijia Lu

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134390Z (2024) https://doi.org/10.1117/12.3055498
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

This paper presents a quantitative evaluation method for assessing the fault isolability of gas pressure regulators without available system models. The method involves generating data-driven residuals using input and output data from gas pressure regulators in a fault-free scenario. The fault isolation performance analysis is then reformulated as a difference measure in residuals for faulty cases. Furthermore, the paper proposes fault isolability evaluation indices that combine distance and direction similarity to comprehensively evaluate the difficulty in fault isolation. The effectiveness of this method is demonstrated through the use of experimental data from gas regulators.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Song, Jiajing Song, and Yijia Lu "A data-driven fault isolability analysis method for gas pressure regulators", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134390Z (12 December 2024); https://doi.org/10.1117/12.3055498

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