Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability
J Wang, Y Li, RX Gao, F Zhang - Journal of Manufacturing Systems, 2022 - Elsevier
To overcome the limitations associated with purely physics-based and data-driven modeling
methods, hybrid, physics-based data-driven models have been developed, with improved …
methods, hybrid, physics-based data-driven models have been developed, with improved …
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective
S Vollert, M Atzmueller… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
In the field of predictive maintenance (PdM), machine learning (ML) has gained importance
over the last years. Accompanying this development, an increasing number of papers use …
over the last years. Accompanying this development, an increasing number of papers use …
Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and …
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …
Exploring local explanation of practical industrial AI applications: A systematic literature review
In recent years, numerous explainable artificial intelligence (XAI) use cases have been
developed, to solve numerous real problems in industrial applications while maintaining the …
developed, to solve numerous real problems in industrial applications while maintaining the …
Artificial intelligence for smart manufacturing: Methods and applications
KP Tran - Sensors, 2021 - mdpi.com
The term Industry 4.0 has become increasingly pervasive in the context of industrial
manufacturing and it has been considered the fourth industrial revolution (Henning [1]). The …
manufacturing and it has been considered the fourth industrial revolution (Henning [1]). The …
Cerebral hemorrhage detection and localization with medical imaging for cerebrovascular disease diagnosis and treatment using explainable deep learning
KH Kim, HW Koo, BJ Lee, SW Yoon… - Journal of the Korean …, 2021 - Springer
Cerebral hemorrhages require rapid diagnosis and intensive treatment. This study aimed to
detect cerebral hemorrhages and their locations in images using a deep learning model …
detect cerebral hemorrhages and their locations in images using a deep learning model …
Explainable ai (xai) for phm of industrial asset: A state-of-the-art, prisma-compliant systematic review
AKBM Nor, SR Pedapait, M Muhammad - arXiv preprint arXiv:2107.03869, 2021 - arxiv.org
A state-of-the-art systematic review on XAI applied to Prognostic and Health Management
(PHM) of industrial asset is presented. This work provides an overview of the general trend …
(PHM) of industrial asset is presented. This work provides an overview of the general trend …
Explainable Artificial Intelligence (XAI) Approaches in Predictive Maintenance: A Review
Predictive maintenance (PdM) is a technique that keeps track of the condition and
performance of equipment during normal operation to reduce the possibility of failures …
performance of equipment during normal operation to reduce the possibility of failures …
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …
modeling, and manual feature extraction. Early detection and accurate predictions of …
Rethinking Robustness of Model Attributions
S Kamath, S Mittal, A Deshpande… - Proceedings of the …, 2024 - ojs.aaai.org
For machine learning models to be reliable and trustworthy, their decisions must be
interpretable. As these models find increasing use in safety-critical applications, it is …
interpretable. As these models find increasing use in safety-critical applications, it is …