Explainable Predictive Maintenance: A Survey of Current Methods,
Challenges and Opportunities

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities

IEEE Access (IEEE Access), 2024

15 January 2024

Alexander Sommers

Somayeh Bakhtiari Ramezani

Joseph E. Jabour

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Papers citing "Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities"

8 / 8 papers shown

Title
Enhancing failure prediction in nuclear industry: Hybridization of knowledge- and data-driven techniquesComputers & industrial engineering (CIE), 2025 Amaratou Mahamadou Saley Thierry Moyaux Aïcha Sekhari Vincent Cheutet Jean-Baptiste Danielou AI4CE 73 1 0 01 Nov 2025
Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers Chi-Ching Hsu Gaetan Frusque Florent Forest Felipe Macedo Christian M. Franck Olga Fink 109 2 0 25 Jul 2025
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants Milapji Singh Gill Javal Vyas Artan Markaj Felix Gehlhoff Mehmet Mercangöz 175 2 0 04 May 2025
On the Tunability of Random Survival Forests Model for Predictive Maintenance Yigitcan Yardımcı Mustafa Cavus 149 0 0 20 Apr 2025
Accelerating Anchors via Specialization and Feature Transformation Haonan Yu Junhao Liu Xin Zhang 336 1 0 16 Feb 2025
Rashomon perspective for measuring uncertainty in the survival predictive maintenance modelsSignal Processing and Communications Applications Conference (SIU), 2025 Yigitcan Yardimci Mustafa Cavus 233 2 0 16 Feb 2025
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 3.1K 28,871 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 2.2K 19,454 0 16 Feb 2016