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Gearbox fault identification using auto-encoder without training data from the damaged machine

Research article (Measurement, 2024) · cited 11× · AI/ML
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Gearbox fault identification using auto-encoder without training data from the damaged machine

Summary

Gearbox fault identification using auto-encoder without training data from the damaged machine is a scholarly article[1].

Key Facts

  • Gearbox fault identification using auto-encoder without training data from the damaged machine's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Gearbox fault identification using auto-encoder without training data from the damaged machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/gearbox-fault-identification-using-auto-encoder-without-training-data-from-the-damaged-machine
MLA “Gearbox fault identification using auto-encoder without training data from the damaged machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gearbox-fault-identification-using-auto-encoder-without-training-data-from-the-damaged-machine.
BibTeX @misc{4ortxyz_gearbox-fault-identification-using-auto-encoder-without-training-data-from-the-damaged-machine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gearbox fault identification using auto-encoder without training data from the damaged machine}}, year = {2026}, url = {https://4ort.xyz/entity/gearbox-fault-identification-using-auto-encoder-without-training-data-from-the-damaged-machine}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gearbox fault identification using auto-encoder without training data from the damaged machine — https://4ort.xyz/entity/gearbox-fault-identification-using-auto-encoder-without-training-data-from-the-damaged-machine (retrieved 2026-05-24)

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