Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach
for Rotating Machinery exploiting Augmented Synthetic Data

Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data

6 October 2022

Gian Antonio Susto

Papers citing "Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data"

6 / 6 papers shown

Title
A Review of Artificial Intelligence Impacting Statistical Process Monitoring and Future Directions Shing I Chang Parviz Ghafariasl AI4TS 41 0 0 23 Feb 2025
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data Mohammadreza Kavianpour Parisa Kavianpour Amin Ramezani AI4CE 30 1 0 16 Jun 2024
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review Ahmed Maged Salah Haridy Herman Shen 25 0 0 17 Apr 2024
Explaining generative diffusion models via visual analysis for interpretable decision-making process Ji-Hoon Park Yeong-Joon Ju Seong-Whan Lee FAtt DiffM 32 14 0 16 Feb 2024
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities Logan Cummins Alexander Sommers Somayeh Bakhtiari Ramezani Sudip Mittal Joseph E. Jabour Maria Seale Shahram Rahimi 40 21 0 15 Jan 2024
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