New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods

Research article (Measurement, 2020) · cited 12× · AI/ML
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New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods

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New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/new-bearing-slight-degradation-detection-approach-based-on-the-periodicity-intensity-factor-and-signal-processing-method
MLA “New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/new-bearing-slight-degradation-detection-approach-based-on-the-periodicity-intensity-factor-and-signal-processing-method.
BibTeX @misc{4ortxyz_new-bearing-slight-degradation-detection-approach-based-on-the-periodicity-intensity-factor-and-signal-processing-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods}}, year = {2026}, url = {https://4ort.xyz/entity/new-bearing-slight-degradation-detection-approach-based-on-the-periodicity-intensity-factor-and-signal-processing-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): New bearing slight degradation detection approach based on the periodicity intensity factor and signal processing methods — https://4ort.xyz/entity/new-bearing-slight-degradation-detection-approach-based-on-the-periodicity-intensity-factor-and-signal-processing-method (retrieved 2026-05-24)

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