Results 11 to 20 of about 749 (240)
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 ...
Irene Niyonambaza +2 more
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Applied Sciences, 2021 The introduction of Industry 4.0 is expected to revolutionize current maintenance practices by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and prescriptive maintenance analytics.
Helge Nordal, Idriss El-Thalji
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, 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
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Predictive Maintenance in Healthcare System: A Survey
IEEE Access, 2023 Medical devices are a vital component of healthcare systems, the advantages they may give continue to grow as they are crucial for the safe and effective prevention, diagnosis, treatment, and rehabilitation of illnesses and diseases.
Oumaima Manchadi +2 more
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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
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Sensors, 2020 Thermal power plants are an important asset in the current energy infrastructure, delivering ancillary services, power, and heat to their respective consumers.
Jonas Fausing Olesen, Hamid Reza Shaker
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Dataset for identifying maintenance needs of home appliances using artificial intelligence
Data in Brief, 2023 The ability to predict the maintenance needs of machines is generating increasing interest in a wide range of industries as it contributes to diminishing machine downtime and costs while increasing efficiency when compared to traditional maintenance ...
Tiago Fonseca +6 more
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Improved Ensemble-Learning Algorithm for Predictive Maintenance in the Manufacturing Process
Applied Sciences, 2021 Industrial Internet of Things (IIoT) technologies comprise sensors, devices, networks, and applications from the edge to the cloud. Recent advances in data communication and application using IIoT have streamlined predictive maintenance (PdM) for ...
Yu-Hsin Hung
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A Predictive Maintenance System Design and Implementation for Intelligent Manufacturing
Machines, 2022 The importance of predictive maintenance (PdM) programs has been recognized across many industries. Seamless integration of the PdM program into today’s manufacturing execution systems requires a scalable and generic system design and a set of key ...
Eyup Cinar, Sena Kalay, Inci Saricicek
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IEEE AccessAs industrial systems advance within the framework of Industry 4.0, predictive maintenance (PdM) has become essential to minimize downtime and improve operational efficiency in industrial Internet of Things (IIoT) environments.
Jiangang Feng, Jicheng Kan
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