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An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples
Research article (Neurocomputing, 2024) · cited 214× · AI/ML
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples
Summary
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples is a scholarly article[1].
Key Facts
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimized-cnn-bilstm-network-for-bearing-fault-diagnosis-under-multiple-working-conditions-with-limited-training-samp
MLA“An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimized-cnn-bilstm-network-for-bearing-fault-diagnosis-under-multiple-working-conditions-with-limited-training-samp.
BibTeX@misc{4ortxyz_an-optimized-cnn-bilstm-network-for-bearing-fault-diagnosis-under-multiple-working-conditions-with-limited-training-samp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimized-cnn-bilstm-network-for-bearing-fault-diagnosis-under-multiple-working-conditions-with-limited-training-samp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples — https://4ort.xyz/entity/an-optimized-cnn-bilstm-network-for-bearing-fault-diagnosis-under-multiple-working-conditions-with-limited-training-samp (retrieved 2026-05-24)
