[HTML][HTML] Balanced k-star: An explainable machine learning method for internet-of-things-enabled predictive maintenance in manufacturing

B Ghasemkhani, O Aktas, D Birant - Machines, 2023 - mdpi.com
Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with
machine learning (ML) to predict probable failures, which leads to the necessity of …

A2-LSTM for predictive maintenance of industrial equipment based on machine learning

Y Jiang, P Dai, P Fang, RY Zhong, X Zhao… - Computers & Industrial …, 2022 - Elsevier
Predictive maintenance (PdM) is a prominent anomaly prediction strategy in the
manufacturing system given the increasing need to minimize downtime and economic …

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 …

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 …

Neuroscience-inspired algorithms for the predictive maintenance of manufacturing systems

AV Malawade, ND Costa, D Muthirayan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
If machine failures can be detected preemptively, then maintenance and repairs can be
performed more efficiently, reducing production costs. Many machine learning techniques …

A design of predictive manufacturing system in IoT‐assisted Industry 4.0 using heuristic‐derived deep learning

P Murugiah, A Muthuramalingam… - International Journal …, 2023 - Wiley Online Library
The predictive maintenance function is ensured with the earlier detection of errors and faults
in the machinery before reaching its critical stages. On the other hand, the challenges faced …

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

Explainable Artificial Intelligence (XAI) Approaches in Predictive Maintenance: A Review

J Sharma, M Lal Mittal, G Soni… - Recent Patents on …, 2024 - ingentaconnect.com
Predictive maintenance (PdM) is a technique that keeps track of the condition and
performance of equipment during normal operation to reduce the possibility of failures …

A hybrid machine learning approach for predictive maintenance in smart factories of the future

S Cho, G May, I Tourkogiorgis, R Perez… - Advances in Production …, 2018 - Springer
Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and
efficient management of an overall plant. In this context, manufacturing companies require …

Predictive maintenance model for IIoT-based manufacturing: A transferable deep reinforcement learning approach

KSH Ong, W Wang, NQ Hieu, D Niyato… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is crucial for accurately assessing the state of complex
equipment in order to perform predictive maintenance (PdM) successfully. However, existing …