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Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Research article (Knowledge-Based Systems, 2022) · cited 78× · AI/ML
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Summary
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions is a scholarly article[1].
Key Facts
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-multiple-auto-encoder-with-attention-mechanism-network-a-dynamic-domain-adaptation-method-for-rotary-machine-fault-
MLA“Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-multiple-auto-encoder-with-attention-mechanism-network-a-dynamic-domain-adaptation-method-for-rotary-machine-fault-.
BibTeX@misc{4ortxyz_deep-multiple-auto-encoder-with-attention-mechanism-network-a-dynamic-domain-adaptation-method-for-rotary-machine-fault-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/deep-multiple-auto-encoder-with-attention-mechanism-network-a-dynamic-domain-adaptation-method-for-rotary-machine-fault-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions — https://4ort.xyz/entity/deep-multiple-auto-encoder-with-attention-mechanism-network-a-dynamic-domain-adaptation-method-for-rotary-machine-fault- (retrieved 2026-05-24)
