Lab-Scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-00959-9.pdf
Reference26 articles.
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3. Delgado-Arredondo PA, Morinigo-Sotelo D, Osornio-Rios RA, Avina-Cervantes JG, Rostro-Gonzalez H, Romero-Troncoso RdJ (2017) Methodology for fault detection in induction motors via sound and vibration signals. Mech Syst Signal Process 83:568–589. https://doi.org/10.1016/j.ymssp.2016.06.032
4. Glowacz A (2018) Acoustic based fault diagnosis of three-phase induction motor. Appl Acoust 137:82–89. https://doi.org/10.1016/j.apacoust.2018.03.010
5. Atmaja BT, Arifianto D (2009) Machinery fault diagnosis using independent component analysis and instantaneous frequency. In: Proceeding international conference on instrumentation, communication information technology and biomedical engineering. ITB, Bandung. https://doi.org/10.1109/ICICI-BME.2009.5417257. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5417257
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