Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals

Research article (Advances in Mechanical Engineering, 2023) · cited 13× · AI/ML
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Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals

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Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/rolling-bearing-fault-feature-selection-based-on-standard-deviation-and-random-forest-classifier-using-vibration-signals
MLA “Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rolling-bearing-fault-feature-selection-based-on-standard-deviation-and-random-forest-classifier-using-vibration-signals.
BibTeX @misc{4ortxyz_rolling-bearing-fault-feature-selection-based-on-standard-deviation-and-random-forest-classifier-using-vibration-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rolling bearing fault feature selection based on standard deviation and random forest classifier using vibration signals}}, year = {2026}, url = {https://4ort.xyz/entity/rolling-bearing-fault-feature-selection-based-on-standard-deviation-and-random-forest-classifier-using-vibration-signals}, note = {Accessed: 2026-05-24}}
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