Machine learning and data mining in manufacturing

A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

Automatic root cause analysis in manufacturing: an overview & conceptualization

E e Oliveira, VL Miguéis, JL Borges - Journal of Intelligent Manufacturing, 2023 - Springer
Root cause analysis (RCA) is the process through which we find the true cause of a
problem. It is a crucial process in manufacturing, as only after finding the root cause and …

Fault handling in industry 4.0: definition, process and applications

H Webert, T Döß, L Kaupp, S Simons - Sensors, 2022 - mdpi.com
The increase of productivity and decrease of production loss is an important goal for modern
industry to stay economically competitive. For that, efficient fault management and quick …

Trust-based Petri Net model for fault detection and treatment in automated manufacturing systems

EA Alzalab, AM El-Sherbeeny, MA El-Meligy… - IEEE …, 2021 - ieeexplore.ieee.org
Automated manufacturing systems (AMSs) are vulnerable to failures. Trust evaluation is
becoming a novel technique for detecting faults in AMSs. In this article, a two-step robust …

Two-stage approach to causality analysis-based quality problem solving for discrete manufacturing systems

H Wang, Y Xu, T Peng, RSK Agbozo, K Xu… - Journal of …, 2023 - Taylor & Francis
In discrete manufacturing systems, the efficiency of quality problem solving always matters,
but it can decrease continually due to increasing systematic complexity, uncertainty, and …

Semantic Segmentation of Micrographs for Nuclear Fuel Analysis and Degradation Quantification

C Snyder, KI Montoya, D Patrick, J Stone… - IEEE …, 2023 - ieeexplore.ieee.org
When fuel materials for high-temperature gas-cooled nuclear reactors are quantification
tested, significant analysis is required to establish their stability under various proposed …

Investigation of degradation and upgradation models for flexible unit systems: A systematic literature review

T Samala, VK Manupati, MLR Varela, G Putnik - Future Internet, 2021 - mdpi.com
Research on flexible unit systems (FUS) with the context of descriptive, predictive, and
prescriptive analysis have remarkably progressed in recent times, being now reinforced in …

Industry 4.0 for failure information management within proactive maintenance

C Talamo, G Paganin, F Rota - IOP Conference Series: Earth and …, 2019 - iopscience.iop.org
I4. 0 revolution is permeating every technical sector, by promoting deployment of enabling
technologies (ETs), also in the facility management (FM) discipline. As FM regards the …

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 …

Developing a data analytics toolbox for data-driven product planning: a review and survey methodology

M Panzner, S von Enzberg, R Dumitrescu - AI EDAM, 2024 - cambridge.org
The application of data analytics to product usage data has the potential to enhance
engineering and decision-making in product planning. To achieve this effectively for cyber …