A big data driven sustainable manufacturing framework for condition-based maintenance prediction
Smart manufacturing refers to a future-state of manufacturing and it can lead to remarkable
changes in all aspects of operations through minimizing energy and material usage while …
changes in all aspects of operations through minimizing energy and material usage while …
AI for predictive maintenance in industrial systems
A Abbas - … Journal of Advanced Engineering Technologies and …, 2024 - ijaeti.com
Predictive Maintenance (PdM) has emerged as a transformative paradigm within industrial
systems, addressing the inherent limitations of traditional reactive maintenance approaches …
systems, addressing the inherent limitations of traditional reactive maintenance approaches …
Predictive maintenance system for high-end equipment in nuclear power plant under limited degradation knowledge
X Liu, W Cheng, J Xing, X Chen, L Li, Y Guan… - Advanced Engineering …, 2024 - Elsevier
To ensure the safe operation of high-end equipment, the three-stage maintenance strategy
comprising unplanned shutdown, temporary shutdown, and scheduled shutdown is currently …
comprising unplanned shutdown, temporary shutdown, and scheduled shutdown is currently …
Explainable Artificial Intelligence Technology for Predictive Maintenance
The domestic nuclear power plant fleet has relied on labor-intensive and time-consuming
preventive maintenance programs, thus driving up operation and maintenance costs to …
preventive maintenance programs, thus driving up operation and maintenance costs to …
Enabling cognitive predictive maintenance using machine learning: Approaches and design methodologies
V Poosapati, V Katneni, VK Manda… - Soft Computing and …, 2019 - Springer
Asset reliability and 100% availability of machines are a competitive business advantage in
complex industrial environment as they play a vital role in improving productivity. Preventive …
complex industrial environment as they play a vital role in improving productivity. Preventive …
Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends
A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive 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 …
the components in a real system has been destroyed, and some anomalies appear so that …
An explainable deep learning approach for detection and isolation of sensor and machine faults in predictive maintenance paradigm
The predictive health maintenance techniques identify the machine faults by analyzing the
data collected by low-cost sensors assuming that sensors are free from any faults. However …
data collected by low-cost sensors assuming that sensors are free from any faults. However …
Explainable predictive maintenance: a survey of current methods, challenges and opportunities
Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …
of a mechanical system by using artificial intelligence and machine learning to predict the …
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …
concepts were born in conjunction with this new revolution, such as predictive maintenance …
[HTML][HTML] On the soundness of xai in prognostics and health management (phm)
The aim of predictive maintenance, within the field of prognostics and health management
(PHM), is to identify and anticipate potential issues in the equipment before these become …
(PHM), is to identify and anticipate potential issues in the equipment before these become …