Fault detection of rolling element bearings using optimal segmentation of vibrating signals

Research article (Mechanical Systems and Signal Processing, 2018) · cited 48× · AI/ML
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Fault detection of rolling element bearings using optimal segmentation of vibrating signals

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Fault detection of rolling element bearings using optimal segmentation of vibrating signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fault detection of rolling element bearings using optimal segmentation of vibrating signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-detection-of-rolling-element-bearings-using-optimal-segmentation-of-vibrating-signals
MLA “Fault detection of rolling element bearings using optimal segmentation of vibrating signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-detection-of-rolling-element-bearings-using-optimal-segmentation-of-vibrating-signals.
BibTeX @misc{4ortxyz_fault-detection-of-rolling-element-bearings-using-optimal-segmentation-of-vibrating-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault detection of rolling element bearings using optimal segmentation of vibrating signals}}, year = {2026}, url = {https://4ort.xyz/entity/fault-detection-of-rolling-element-bearings-using-optimal-segmentation-of-vibrating-signals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault detection of rolling element bearings using optimal segmentation of vibrating signals — https://4ort.xyz/entity/fault-detection-of-rolling-element-bearings-using-optimal-segmentation-of-vibrating-signals (retrieved 2026-05-24)

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