Comprehensive health assessment of faulty and repaired linear axis components through multi-sensor monitoring
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13707-4.pdf
Reference45 articles.
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3. Martin KF (1994) A review by discussion of condition monitoring and fault diagnosis in machine tools. Int J Mach Tools Manuf 34(4):527–551. https://doi.org/10.1016/0890-6955(94)90083-3
4. Bin Z et al (2008) Rolling element bearing feature extraction and anomaly detection based on vibration monitoring, in., Mediterranean Conference on Control and Automation - Conference Proceedings, MED’08, 2008, pp. 1792–1797. https://doi.org/10.1109/MED.2008.4602112
5. Manjurul Islam MM, Prosvirin AE, Kim JM (2021) Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines, Mech Syst Signal Process, vol. 160, Nov. https://doi.org/10.1016/j.ymssp.2021.107853
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