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An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising
Research article (Neurocomputing, 2016) · cited 41× · AI/ML
An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising
Summary
An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising is a scholarly article[1].
Key Facts
An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-investigation-of-rolling-bearing-early-diagnosis-based-on-high-frequency-characteristics-and-self-adaptive-wavelet-de
MLA“An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-investigation-of-rolling-bearing-early-diagnosis-based-on-high-frequency-characteristics-and-self-adaptive-wavelet-de.
BibTeX@misc{4ortxyz_an-investigation-of-rolling-bearing-early-diagnosis-based-on-high-frequency-characteristics-and-self-adaptive-wavelet-de_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising}}, year = {2026}, url = {https://4ort.xyz/entity/an-investigation-of-rolling-bearing-early-diagnosis-based-on-high-frequency-characteristics-and-self-adaptive-wavelet-de}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising — https://4ort.xyz/entity/an-investigation-of-rolling-bearing-early-diagnosis-based-on-high-frequency-characteristics-and-self-adaptive-wavelet-de (retrieved 2026-05-24)
