An Explainable Artificial Intelligence Approach for Unsupervised Fault
Detection and Diagnosis in Rotating Machinery

An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery

23 February 2021

Gian Antonio Susto

Papers citing "An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery"

9 / 9 papers shown

Title
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies Audrey Der Chin-Chia Michael Yeh Yan Zheng Junpeng Wang Zhongfang Zhuang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 45 2 0 16 Jan 2024
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach Stefan Schoepf Jack Foster Alexandra Brintrup 32 1 0 22 Jul 2023
Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods María Barroso J. Bossio Carlos M. Alaíz Ángela Fernández Pascual AI4CE 17 2 0 14 Jun 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 32 8 0 08 Jun 2023
A new transformation for embedded convolutional neural network approach toward real-time servo motor overload fault-detection Seyed Mohammad Hossein Abedy Nejad M. A. Behzadi A. Taheri 18 0 0 08 Apr 2023
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data L. Brito Gian Antonio Susto J. N. Brito M. Duarte 34 45 0 06 Oct 2022
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces Iñigo López-Riobóo Botana Carlos Eiras-Franco Julio César Hernández Castro Amparo Alonso-Betanzos 21 0 0 09 Sep 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 17 51 0 07 Jun 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017