Home ›
Entities
› academia
› A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 31× · AI/ML
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Summary
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions is a scholarly article[1].
Key Facts
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-convolution-multi-adversarial-adaptation-network-with-correlation-alignment-for-fault-diagnosis-of-rotating-machi
MLA“A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-convolution-multi-adversarial-adaptation-network-with-correlation-alignment-for-fault-diagnosis-of-rotating-machi.
BibTeX@misc{4ortxyz_a-deep-convolution-multi-adversarial-adaptation-network-with-correlation-alignment-for-fault-diagnosis-of-rotating-machi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-convolution-multi-adversarial-adaptation-network-with-correlation-alignment-for-fault-diagnosis-of-rotating-machi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions — https://4ort.xyz/entity/a-deep-convolution-multi-adversarial-adaptation-network-with-correlation-alignment-for-fault-diagnosis-of-rotating-machi (retrieved 2026-05-24)
