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
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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
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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
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Artificial Intelligence of Things for Next-Generation Predictive Maintenance [PDF]
SensorsIndustry 5.0 introduces a shift toward human-centric, sustainable, and resilient industrial ecosystems, emphasizing intelligent automation, collaboration, and adaptive operations.
Taimia Bitam +5 more
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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
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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
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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
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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
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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 +4 more
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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 +2 more
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