Classification and detection of cavitation, particle contamination and oil starvation in journal bearing through machine learning approach using acoustic emission signals
Research article (Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, 2021) · cited 23× · AI/ML
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Classification and detection of cavitation, particle contamination and oil starvation in journal bearing through machine learning approach using acoustic emission signals
Summary
Classification and detection of cavitation, particle contamination and oil starvation in journal bearing through machine learning approach using acoustic emission signals is a scholarly article[1].
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- Classification and detection of cavitation, particle contamination and oil starvation in journal bearing through machine learning approach using acoustic emission signals's instance of is recorded as scholarly article[2].