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An Explainable Regression Framework for Predicting Remaining Useful Life
  of Machines

An Explainable Regression Framework for Predicting Remaining Useful Life of Machines

28 April 2022
Talhat Khan
Kashif Ahmad
Jebran Khan
Imran Khan
Nasir Ahmad
ArXivPDFHTML

Papers citing "An Explainable Regression Framework for Predicting Remaining Useful Life of Machines"

5 / 5 papers shown
Title
Diffusion Counterfactuals for Image Regressors
Diffusion Counterfactuals for Image Regressors
Trung Duc Ha
Sidney Bender
DiffM
84
0
0
26 Mar 2025
Interpretable Prognostics with Concept Bottleneck Models
Interpretable Prognostics with Concept Bottleneck Models
Florent Forest
Katharina Rombach
Olga Fink
25
0
0
27 May 2024
Explainable Predictive Maintenance: A Survey of Current Methods,
  Challenges and Opportunities
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
32
21
0
15 Jan 2024
Explainable, Interpretable & Trustworthy AI for Intelligent Digital
  Twin: Case Study on Remaining Useful Life
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
Kazuma Kobayashi
S. B. Alam
19
49
0
17 Jan 2023
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy
  Systems: A Review of Techniques, Challenges, and Future Research Directions
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
Y. Afridi
Kashif Ahmad
Laiq Hassan
AI4CE
28
47
0
20 Apr 2021
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