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A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions
Research article (IEEE Access, 2019) · cited 131× · AI/ML
A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions
Summary
A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions is a scholarly article[1].
Key Facts
A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-transfer-model-with-wasserstein-distance-guided-multi-adversarial-networks-for-bearing-fault-diagnosis-under-diff
MLA“A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-transfer-model-with-wasserstein-distance-guided-multi-adversarial-networks-for-bearing-fault-diagnosis-under-diff.
BibTeX@misc{4ortxyz_a-deep-transfer-model-with-wasserstein-distance-guided-multi-adversarial-networks-for-bearing-fault-diagnosis-under-diff_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-transfer-model-with-wasserstein-distance-guided-multi-adversarial-networks-for-bearing-fault-diagnosis-under-diff}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions — https://4ort.xyz/entity/a-deep-transfer-model-with-wasserstein-distance-guided-multi-adversarial-networks-for-bearing-fault-diagnosis-under-diff (retrieved 2026-05-24)
