Data-driven Industrial Machine Failure Detection in Imbalanced Environments
Author:
Affiliation:
1. Mae Fah Luang University,School of Information Technology,Chiang Rai,Thailand,57100
2. Mae Fah Luang University,Urban Mobility Lab., School of Management,Chiang Rai,Thailand,57100
Funder
Mae Fah Luang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9989527/9989519/09989673.pdf?arnumber=9989673
Reference21 articles.
1. Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model
2. A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance
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4. A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers
5. Neighbourhood-based undersampling approach for handling imbalanced and overlapped data
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