Networked Systems Diagnostics: A Fusion of Failure Mode and Effects Analysis and a Delphi Expert Study

Ren Y, Deichsel F, Hopf V, Seiler J, Kaup A, Beckerle P (2025)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2025

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 2041-2046

Conference Proceedings Title: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Event location: Kuching MY

ISBN: 978-1-6654-1021-2

DOI: 10.1109/SMC54092.2024.10831721

Abstract

Networked devices, especially those comprising multiple identical devices, are extensively utilized in industrial scenarios. However, their complexity poses unique challenges in diagnostic processes, demanding efficient methodologies to identify and assess risks. The application of Failure Mode and Effects Analysis (FMEA) for analyzing complex systems, especially those consisting of networked devices, appears to be limited, particularly in identifying critical risk factors. In this paper, we propose a novel pipeline to diagnose networked systems by fusing FMEA with a Delphi (expert) Study. Our approach leverages the collective knowledge of a group of experts through a structured Delphi Study enabling them to contribute individually but also to interact. We demonstrate the applicability of our approach through a case study involving a system of networked mobile robots. Based on a Fault Tree Analysis (FTA), Risk Priority Numbers (RPN) of minimal fault tree cut sets are calculated to identify the most critical mechatronic failures. Our findings show that our methodology provides an RPN ranking that closely aligns with expert insights, highlighting its efficacy in accurately assessing risk in complex networked systems.

Authors with CRIS profile

Yongxu Ren Lehrstuhl für Autonome Systeme und Mechatronik Felix Deichsel Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Valentin Hopf Chair of Automatic Control (LRT/AC) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Philipp Beckerle Lehrstuhl für Autonome Systeme und Mechatronik

How to cite

APA:

Ren, Y., Deichsel, F., Hopf, V., Seiler, J., Kaup, A., & Beckerle, P. (2025). Networked Systems Diagnostics: A Fusion of Failure Mode and Effects Analysis and a Delphi Expert Study. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2041-2046). Kuching, MY: Institute of Electrical and Electronics Engineers Inc..

MLA:

Ren, Yongxu, et al. "Networked Systems Diagnostics: A Fusion of Failure Mode and Effects Analysis and a Delphi Expert Study." Proceedings of the 2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024, Kuching Institute of Electrical and Electronics Engineers Inc., 2025. 2041-2046.

BibTeX: Download