A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery

Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 25× · AI/ML
Press Enter · cited answer in seconds

A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery

Summary

A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery is a scholarly article[1].

Key Facts

  • A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery'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). A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul
MLA “A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul.
BibTeX @misc{4ortxyz_a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery}}, year = {2026}, url = {https://4ort.xyz/entity/a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery — https://4ort.xyz/entity/a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-variational-auto-encoder-based-multisource-deep-domain-adaptation-model-using-optimal-transport-for-cross-machine-faul · Last refreshed: