Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

JJM Jimenez, S Schwartz, R Vingerhoeds… - Journal of manufacturing …, 2020‏ - Elsevier
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …

Taking complexity into account: A structured literature review on multi-component systems in the context of predictive maintenance

M Gashi, S Thalmann - … , and Middle Eastern Conference on Information …, 2019‏ - Springer
One of the most prominent use cases of a digitized industry is predictive maintenance.
Advances in sensor and data technology enable continuous condition monitoring, thus …

Dealing with missing usage data in defect prediction: A case study of a welding supplier

M Gashi, P Ofner, H Ennsbrunner, S Thalmann - Computers in industry, 2021‏ - Elsevier
Abstract End-of-line (EoL) testing is performed to determine product quality by ensuring
reliable performance. Even though low-quality products may pass EoL testing, they have a …

A decision-based framework for predictive maintenance technique selection in industry 4.0

J Li, D Schaefer, J Milisavljevic-Syed - Procedia CIRP, 2022‏ - Elsevier
Maintenance is defined as the actions that allow machines and equipment to work for an
extended period of time by retaining and restoring equipment to its original state. In Industry …

A system engineering approach to predictive maintenance systems: from needs and desires to logical architecture

JJM Jiménez, R Vingerhoeds - 2019 International Symposium …, 2019‏ - ieeexplore.ieee.org
Predictive maintenance is an important field of research to determine the exact moment to
trigger maintenance actions. Despite the potential benefits of predictive maintenance in …

An integrated fuzzy DEMATEL-fuzzy ANP approach to nominate diagnostic method and measuring total predictive performance score

F Nematkhah, S Raissi, V Ghezavati - Safety and Reliability, 2017‏ - Taylor & Francis
Proper conditional-based maintenance program supplies outstanding benefits to industrial
plants. In order to obtain such advantages, a comprehensive model should be taking into …

Context awareness in predictive maintenance

B Schmidt, D Galar, L Wang - Current Trends in Reliability, Availability …, 2015‏ - Springer
Maintenance of assembly and manufacturing equipment is crucial to ensure productivity,
product quality, on-time delivery, and a safe working environment. Predictive Maintenance …

Applying machine learning (ML) in the supply chain: predict the quality defect percentage in delivery from supplier

LE Simão, AM dos Santos - Revista Gestão & …, 2024‏ - revistagt.fpl.emnuvens.com.br
Study Objective: The objective of this article was to describe the process of develo** and
implementing an ML model in the supply chain to predict the percentage of defective parts …

[كتاب][B] Opportunistic predictive maintenance for multi-component systems with multiple dependences

DH Dinh - 2021‏ - researchgate.net
Recently, maintenance modeling for multi-component systems with dependences
(economic, stochastic, and/or structural dependences) has been extensively studied …

[PDF][PDF] International Journal of Artificial Intelligence and Machine Learning

NOC Victor - 2023‏ - svedbergopen.com
The construction industry plays a vital role in the global economy but grapples with
inefficiencies in electrical and electronics engineering projects, resulting in delays …