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 …
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 …
Migration strategy of cloud collaborative computing for delay-sensitive industrial IoT applications in the context of intelligent manufacturing
K Wang - Computer Communications, 2020 - Elsevier
In the context of intelligent manufacturing, machinery and equipment in the industrial
manufacturing process form the “industrial Internet of Things.” In this process of interlocking …
manufacturing process form the “industrial Internet of Things.” In this process of interlocking …
Review of machine learning technologies and artificial intelligence in modern manufacturing systems
With the advent of new methods usually identified under the banners of artificial intelligence
(AI) and machine learning (ML), statistical analysis methods of complex and uncertain …
(AI) and machine learning (ML), statistical analysis methods of complex and uncertain …
Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system
B Zhou, Z Zhu - Neural Computing and Applications, 2021 - Springer
Since greening scheduling problems are drawing increasing attention from researchers and
modern manufacturing enterprises, and the energy consumption is a substantial problem …
modern manufacturing enterprises, and the energy consumption is a substantial problem …
Fault diagnosis of manufacturing systems using data mining techniques
I Djelloul, Z Sari - 2018 5th International Conference on …, 2018 - ieeexplore.ieee.org
Fault is one of the main causes of failure, and the accurate diagnosis is one of the most
significant steps in fault treatment. This paper considers the diagnosis system to solve some …
significant steps in fault treatment. This paper considers the diagnosis system to solve some …
Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems
I Djelloul, Z Sari, K Latreche - Applied Intelligence, 2018 - Springer
This paper is concerned with fault detection and diagnosis problem in manufacturing
systems. In such industrial environment, production systems are subject to several faults …
systems. In such industrial environment, production systems are subject to several faults …
Fault diagnosis based on the quality effect of learning algorithm for manufacturing systems
I Djelloul, Z Sari, IB Sidibe - … , Part I: Journal of Systems and …, 2019 - journals.sagepub.com
Fault diagnosis is becoming an important issue in industrial environment, and the accurate
diagnosis is the most significant part in fault handling. This article discusses a fault detection …
diagnosis is the most significant part in fault handling. This article discusses a fault detection …