SB-PdM: A tool for predictive maintenance of rolling bearings based on limited labeled data
Software Impacts, 2023 Sulaiman Aburakhia, Abdallah Shami
exaly +2 more sources
A Systematic Mapping Study of Predictive Maintenance in SMEs
IEEE Access, 2022 The rapid growth of Industry 4.0 and predictive methods fostered a great potential for state-of-the-art techniques in the industrial sector, especially in smart factories.
Maqbool Khan +5 more
doaj +1 more source
Exploring predictive maintenance applications in industry [PDF]
, 2022 Purpose - Asset owners and maintainers need to make timely and well-informed maintenance decisions, based on the actual or predicted condition of their physical assets.
Tinga, Tiedo; id_orcid +3 more
core +1 more source
Practical application of the TTM, predictive maintenance module (PdM)
Recent Innovations in Mechatronics, 2022 The purpose of the paper is to present the connetion between the Total Traceability Management (TTM) software and the technical solutions for predictive maintenance. As a key function of the TTM, the predictive maintenance module is based on conditioning monitoring systems.
Horia Mizgan, Macedo Ganea
openaire +1 more source
Reducing unplanned downtime using Predictive Maintenance (PdM)
IOP Conference Series: Materials Science and Engineering, 2021 Abstract Maintenance is one of the essential aspects that contribute to keep production process continue to operate and reduce unplanned downtime. In the cement industry, especially kiln area, unplanned downtime can cause not only low availability but also high maintenance costs due to unplanned demand for spare parts and the need for ...
I Yasin, N Kurniati, B Syairudin
openaire +1 more source
Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines [PDF]
, 2022 peer reviewedIn the context of Industry 4.0, companies understand the advantages of performing Predictive Maintenance (PdM). However, when moving towards PdM, several considerations must be carefully examined. First, they need to have a sufficient number
Robert, Jérémy +5 more
core +1 more source
Next-generation predictive maintenance: leveraging blockchain and dynamic deep learning in a domain-independent system [PDF]
PeerJ Computer Science, 2023 The fourth industrial revolution, often referred to as Industry 4.0, has revolutionized the manufacturing sector by integrating emerging technologies such as artificial intelligence (AI), machine and deep learning, Industrial Internet of Things (IIoT ...
Montdher Alabadi, Adib Habbal
doaj +2 more sources
Using Intelligent Edge Devices for Predictive Maintenance on Injection Molds
Applied Sciences, 2023 A considerable part of enterprises’ total expenses is dedicated to maintenance interventions. Predictive maintenance (PdM) has appeared as a solution to decrease these costs; however, the necessity of end-to-end solutions in deploying predictive models ...
Pedro Nunes +2 more
doaj +1 more source
A Data Scientific Approach Towards Predictive Maintenance Application in Manufacturing Industry [PDF]
, 2022 Most industries have recently started to harness the power of data to assess their performance and improve their production systems for future competitiveness and sustainability.
Vasudevan, Adarsh +9 more
core +1 more source
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance [PDF]
, 2021 In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Turanoglu Bekar, Ebru, +6 more
core +1 more source