Results 21 to 30 of about 1,402 (277)

Predictive Maintenance of Norwegian Road Network Using Deep Learning Models

Sensors, 2023
Industry 4.0 has revolutionized the use of physical and digital systems while playing a vital role in the digitalization of maintenance plans for physical assets in an optimal way. Road network conditions and timely maintenance plans are essential in the
Muhammad Umair Hassan, Ole-Martin Hagen Steinnes, Eirik Gribbestad Gustafsson, Sivert Løken, Ibrahim A. Hameed   +4 more
doaj   +1 more source

Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs

, 2021
In manufacturing, small and medium-sized enterprises (SMEs) face global competition. In the field of predictive maintenance (PdM), artificial intelligence (AI) helps to prevent machine failures and has the potential to significantly reduce costs and ...
Lowin, Maximilian, Kellner, Domenic, Chen, Johannes, von Zahn, Moritz   +3 more
core   +1 more source

Dataset of audio signals from brushless DC motors for predictive maintenance

Data in Brief, 2023
Predictive Maintenance (PdM) has a main role in the Fourth Industrial Revolution; its goal is to design models that can safely detect failure in systems before they fail, aiming to reduce financial, environmental, and operational costs.
Rommel Stiward Prieto Estacio, Diego Alberto Bravo Montenegro, Carlos Felipe Rengifo Rodas   +2 more
doaj   +1 more source

Lifetime Benefit Analysis of Intelligent Maintenance: Simulation Modeling Approach and Industrial Case Study

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
doaj   +1 more source

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, Fatima-Ezzahraa Ben-Bouazza, Bassma Jioudi   +2 more
doaj   +1 more source

Revolutionizing aircraft maintenance: The role of predictive maintenance in aviation

, 2023
This literature review synthesizes existing knowledge on the crucial role of data in predictive maintenance (PdM) within the aviation sector, examining its significance, benefits, and technological foundations.
Ramasahayam, Uditsena Reddy
core   +2 more sources

Predictive maintenance approaches: A systematic literature review

Journal of Industrial Engineering and Management
Purpose: Predictive maintenance (PdM) aims to optimize maintenance operations by detecting operational anomalies and potential equipment failures before they lead to costly unplanned downtime.
Hicham Taoufyq, Kamal El Guemmat, Khalifa Mansouri, Fatiha Akef   +3 more
doaj   +3 more sources

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

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
doaj   +1 more source

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, Pedro Chaves, Luis Lino Ferreira, Nuno Gouveia, David Costa, André Oliveira, Jorge Landeck   +6 more
doaj   +1 more source

A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things

IEEE Access
As 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
doaj   +1 more source