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Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses
Research article (The International Journal of Advanced Manufacturing Technology, 2020) · cited 43× · AI/ML
Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses
Summary
Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses is a scholarly article[1].
Key Facts
Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearings-in-non-stationary-running-conditions-using-improved-ceemdan-and-multivariate-denoisi
MLA“Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearings-in-non-stationary-running-conditions-using-improved-ceemdan-and-multivariate-denoisi.
BibTeX@misc{4ortxyz_fault-diagnosis-of-rolling-bearings-in-non-stationary-running-conditions-using-improved-ceemdan-and-multivariate-denoisi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearings-in-non-stationary-running-conditions-using-improved-ceemdan-and-multivariate-denoisi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses — https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearings-in-non-stationary-running-conditions-using-improved-ceemdan-and-multivariate-denoisi (retrieved 2026-05-24)
