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Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method
Research article (Measurement Science and Technology, 2022) · cited 50× · AI/ML
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method
Summary
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method is a scholarly article[1].
Key Facts
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method. Retrieved May 24, 2026, from https://4ort.xyz/entity/unmanned-aerial-vehicle-rotor-fault-diagnosis-based-on-interval-sampling-reconstruction-of-vibration-signals-and-a-one-d
MLA“Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unmanned-aerial-vehicle-rotor-fault-diagnosis-based-on-interval-sampling-reconstruction-of-vibration-signals-and-a-one-d.
BibTeX@misc{4ortxyz_unmanned-aerial-vehicle-rotor-fault-diagnosis-based-on-interval-sampling-reconstruction-of-vibration-signals-and-a-one-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method}}, year = {2026}, url = {https://4ort.xyz/entity/unmanned-aerial-vehicle-rotor-fault-diagnosis-based-on-interval-sampling-reconstruction-of-vibration-signals-and-a-one-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method — https://4ort.xyz/entity/unmanned-aerial-vehicle-rotor-fault-diagnosis-based-on-interval-sampling-reconstruction-of-vibration-signals-and-a-one-d (retrieved 2026-05-24)
