Enhancing Reliability through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
This paper presents a comprehensive survey on interpretable intelligent fault diagnosis for
rotating machinery, addressing the challenge of the “black box” nature of machine learning …
rotating machinery, addressing the challenge of the “black box” nature of machine learning …
Review of Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Industrial Open Source Data
In the field of Prognostics and Health Management (PHM), recent years have witnessed a
significant surge in the application of machine learning (ML). Despite this growth, the field …
significant surge in the application of machine learning (ML). Despite this growth, the field …
Explainable artificial intelligence prediction of defect characterization in composite materials
Non-destructive evaluation (NDE) techniques are integral across diverse applications for
void detection within composites. Infrared (IR) thermography (IRT) is a prevalent NDE …
void detection within composites. Infrared (IR) thermography (IRT) is a prevalent NDE …