Dowell: diversity-induced optimally weighted ensemble learner for predictive maintenance of industrial internet of things devices
The Industrial Internet of Things (I-IoT) enables a smarter maintenance approach for various
industrial applications, such as manufacturing, logistics, etc. This approach is based on …
industrial applications, such as manufacturing, logistics, etc. This approach is based on …
Opelrul: Optimally weighted ensemble learner for remaining useful life prediction
Smart manufacturing utilizes a smart maintenance approach, constantly observing system
data to estimate machine failure. This smart maintenance, also known as predictive …
data to estimate machine failure. This smart maintenance, also known as predictive …
Data-driven methods for predictive maintenance of industrial equipment: A survey
W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …
data-driven methods has become the most effective solution to address smart manufacturing …
Deep-learning-enabled predictive maintenance in industrial internet of things: methods, applications, and challenges
H Wang, W Zhang, D Yang, Y Xiang - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
With the great evolution of human society from the information era to the smart automation
era, intelligent production and maintenance have become the core orientation of Industry …
era, intelligent production and maintenance have become the core orientation of Industry …
Predictive Maintenance in IoT Devices Using Time Series Analysis and Deep Learning
M Raparthy, B Dodda - Dandao Xuebao/Journal of Ballistics - ballisticsjournal.com
The pervasive integration of Internet of Things (IoT) devices across industries has ushered in
a new era of data-driven operational efficiency. However, the reliability and uninterrupted …
a new era of data-driven operational efficiency. However, the reliability and uninterrupted …
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Remaining useful life (RUL) estimation, a key component in predictive maintenance (PdM),
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
aims to reduce maintenance cycles in the prognostic health of mechanical equipment (s) …
Predictive maintenance for edge-based sensor networks: A deep reinforcement learning approach
Failure of mission-critical equipment interrupts production and results in monetary loss. The
risk of unplanned equipment downtime can be minimized through Predictive Maintenance of …
risk of unplanned equipment downtime can be minimized through Predictive Maintenance of …
IOT based predictive maintenance using LSTM RNN estimator
JS Rahhal, D Abualnadi - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Predictive maintenance is a smart solution for many industrial and commercial plants; it
enables users to fix their devices before they fail. It is based on a mathematical model that …
enables users to fix their devices before they fail. It is based on a mathematical model that …
Predictive maintenance using machine learning
AP Kane, AS Kore, AN Khandale, SS Nigade… - arXiv preprint arXiv …, 2022 - arxiv.org
Predictive maintenance (PdM) is a concept, which is implemented to effectively manage
maintenance plans of the assets by predicting their failures with data driven techniques. In …
maintenance plans of the assets by predicting their failures with data driven techniques. In …
A2-LSTM for predictive maintenance of industrial equipment based on machine learning
Predictive maintenance (PdM) is a prominent anomaly prediction strategy in the
manufacturing system given the increasing need to minimize downtime and economic …
manufacturing system given the increasing need to minimize downtime and economic …