Results 21 to 30 of about 2,010,994 (219)

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

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,, Skoogh, Anders, Turanoglu Bekar, Ebru, Karlsson, Alexander,, Bekar, Ebru Turanoglu, Skoogh, Anders,, Karlsson, Alexander   +6 more
core   +1 more source

Revolutionizing aircraft maintenance: The role of predictive maintenance in aviation [PDF]

, 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   +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

Machine Learning-Oriented Predictive Maintenance (PdM) Framework for Autonomous Vehicles (AVs): Adopting Blockchain for PdM Solution [PDF]

, 2022
Autonomous Vehicles (AVs) refers to smart, connected and multimedia cars with technological megatrends of the fourth industrial revolution (Industry 4.0) and have gained huge strive in today\u27s world. AVs adopt automated driving systems (ADS) technique
Hossain Faruk, Md Jobair, Shahriar, Hossain, Valero, Maria   +2 more
core   +2 more sources

Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices [PDF]

PeerJ Computer Science
Background Maintaining machines effectively continues to be a challenge for industrial organisations, which frequently employ reactive or premeditated methods.
Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Lulu Bei, Kai Huang, Xiang Wu   +6 more
doaj   +2 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

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

Integrating machine learning and IoT for real-time predictive maintenance in industrial ecosystems: A case study analysis [PDF]

International Journal of Research in Industrial Engineering
Improving operational efficiency, optimizing resource utilization, and reducing downtime can all be achieved by applying  Artificial Intelligence (AI)-driven Predictive Maintenance (PdM) in manufacturing.
Kayalvizhi Sekar, Manoharan Subbiiah Nattar, Pradeep Kumar Muthukamatchi, Nagendran Ranganathan, Srithar Srithar, Nagalalli Gurunathan   +5 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