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 …

A type-2 fuzzy based explainable AI system for predictive maintenance within the water pumping industry

SJ Upasane, H Hagras, MH Anisi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Industrial maintenance has undergone a paradigm shift due to the emergence of artificial
intelligence (AI), the Internet of Things (IoT), and cloud computing. Rather than accepting the …

Edge AI: from the perspective of predictive maintenance

S Sharanya, R Venkataraman, G Murali - Applied Edge AI, 2022 - taylorfrancis.com
The genesis of artificial intelligence, edge and fog computing has radiated their scope to
harmonize with any sector, ranging from medical to manufacturing industries. Amongst …

Predictive Maintenance in IoT-Enabled Systems using Machine Learning and AI Techniques

R Kour - Transaction on Recent Developments in Industrial IoT, 2023 - journals.threws.com
With the proliferation of Internet of Things (IoT) technology across various industries, the
concept of predictive maintenance has emerged as a crucial paradigm for ensuring the …

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 …

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 …

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 …

[HTML][HTML] An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, P Kamat… - Decision Analytics Journal, 2024 - Elsevier
Abstract Industry 4.0 denotes smart manufacturing, where rotating machines predominantly
serve as the fundamental components in production sectors. The primary duty of …

A Review of Predictive Maintenance of Bearing Failures in Rotary Machines by Predictive Analytics Using Machine-Learning Techniques

YN Aldeoes, P Gokhale, SY Sondkar - AI, IoT, Big Data and Cloud …, 2023 - Springer
Maintaining product and machine safety while lowering maintenance costs has recently
become a serious concern. Predictive maintenance (PdM) is one of the important strategies …

Explainable AI in manufacturing: a predictive maintenance case study

B Hrnjica, S Softic - IFIP International Conference on Advances in …, 2020 - Springer
This paper describes an example of an explainable AI (Artificial Intelligence)(XAI) in a form
of Predictive Maintenance (PdM) scenario for manufacturing. Predictive maintenance has …