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Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions
Research article (Reliability Engineering & System Safety, 2022) · cited 105× · AI/ML
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions
Summary
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions is a scholarly article[1].
Key Facts
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/fractional-fourier-and-time-domain-recurrence-plot-fusion-combining-convolutional-neural-network-for-bearing-fault-diagn
MLA“Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fractional-fourier-and-time-domain-recurrence-plot-fusion-combining-convolutional-neural-network-for-bearing-fault-diagn.
BibTeX@misc{4ortxyz_fractional-fourier-and-time-domain-recurrence-plot-fusion-combining-convolutional-neural-network-for-bearing-fault-diagn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/fractional-fourier-and-time-domain-recurrence-plot-fusion-combining-convolutional-neural-network-for-bearing-fault-diagn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions — https://4ort.xyz/entity/fractional-fourier-and-time-domain-recurrence-plot-fusion-combining-convolutional-neural-network-for-bearing-fault-diagn (retrieved 2026-05-24)
