Results 1 to 10 of about 1,402 (277)
Predictive maintenance (PdM) analysis matrix: A tool to determine technical specifications for PdM ready-equipment [PDF]
IOP Conference Series: Materials Science and Engineering, 2019 Abstract Predictive maintenance (PdM) and operations optimisation are expected to generate the highest industrial and societal impact within the oil and gas industry. Such an optimistic expectation requires several changes in asset design and maintenance management.
El-Thalji, Idriss
exaly +4 more sources
Predictive Maintenance (PdM) Structure Using Internet of Things (IoT) for Mechanical Equipment Used into Hospitals in Rwanda [PDF]
Future Internet, 2020 The success of all industries relates to attaining the satisfaction to clients with a high level of services and productivity. The success main factor depends on the extent of maintaining their equipment. To date, the Rwandan hospitals that always have a long queue of patients that are waiting for service perform a repair after failure as common ...
Marco Zennaro +2 more
exaly +4 more sources
Machines, 2023 Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with machine learning (ML) to predict probable failures, which leads to the necessity of maintenance for manufacturing equipment, providing the opportunity to solve the ...
Bita Ghasemkhani +2 more
doaj +2 more sources
Predictive maintenance optimization for industrial equipment via reliable prognosis and risk-aware reinforcement learning [PDF]
Complex & Intelligent SystemsPredictive maintenance (PdM) based on Remaining Useful Life (RUL) prediction plays a crucial role in improving performance and reducing lifecycle costs of industrial equipment.
Zifei Xu, Qiang Zhang
doaj +2 more sources
A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering [PDF]
Scientific ReportsPredictive maintenance (PdM) has seen significant advances through machine learning, yet its practical deployment remains challenged by data scarcity, system complexity, and uncertainty in cost-related decisions.
Ali Hakami
doaj +2 more sources
, 2021 The objective of the SMART-PDM project (ITEA4: 17041 SMART-PDM) is to gather manufacturing data to provide diagnosis and prognosis information for predictive maintenance purposes while rendering underlying technology financially feasible. MONDRAGON ASSEMBLY and LORTEK have collaborated to develop tools to predict the degradation state of electrodes ...
Apraiz, Aitor, Muniategui, Ander
openaire +3 more sources
Applied SciencesPredictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place.
Aysegul Ucar +2 more
doaj +3 more sources
International Journal of Electrical and Computer Engineering (IJECE)Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques in predictive maintenance in industrial systems over the past few years, several challenges remain to be addressed ...
Moulla, Donatien Koulla +4 more
openaire +3 more sources
Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices [PDF]
PeerJ Computer ScienceBackground Maintaining machines effectively continues to be a challenge for industrial organisations, which frequently employ reactive or premeditated methods.
Nur Haninie Abd Wahab +6 more
doaj +3 more sources
Selecting Suitable Candidates for Predictive Maintenance
International Journal of Prognostics and Health Management, 2018 Predictive maintenance (PdM) or Prognostics and Health Management (PHM) assists in better predicting the future state of physical assets and making timely and better-informed maintenance decisions.
W. W. Tiddens, A.J.J. Braaksma, T. Tinga
doaj +3 more sources