Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

Research article (Alexandria Engineering Journal, 2020) · cited 63× · AI/ML
Press Enter · cited answer in seconds

Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

Summary

Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals is a scholarly article[1].

Key Facts

  • Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch
MLA “Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch.
BibTeX @misc{4ortxyz_cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals}}, year = {2026}, url = {https://4ort.xyz/entity/cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals — https://4ort.xyz/entity/cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/cavitation-intensity-recognition-for-high-speed-axial-piston-pumps-using-1-d-convolutional-neural-networks-with-multi-ch · Last refreshed: