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Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification
Research article (IEEE Access, 2024) · cited 23× · AI/ML
Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification
Summary
Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification is a scholarly article[1].
Key Facts
Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification's instance of is recorded as scholarly article[2].
References
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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). Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-rolling-bearing-fault-diagnosis-in-motors-using-the-ocssa-vmd-cnn-bilstm-model-a-novel-approach-for-fast-and-a
MLA“Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-rolling-bearing-fault-diagnosis-in-motors-using-the-ocssa-vmd-cnn-bilstm-model-a-novel-approach-for-fast-and-a.
BibTeX@misc{4ortxyz_enhancing-rolling-bearing-fault-diagnosis-in-motors-using-the-ocssa-vmd-cnn-bilstm-model-a-novel-approach-for-fast-and-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-rolling-bearing-fault-diagnosis-in-motors-using-the-ocssa-vmd-cnn-bilstm-model-a-novel-approach-for-fast-and-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Rolling Bearing Fault Diagnosis in Motors Using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification — https://4ort.xyz/entity/enhancing-rolling-bearing-fault-diagnosis-in-motors-using-the-ocssa-vmd-cnn-bilstm-model-a-novel-approach-for-fast-and-a (retrieved 2026-05-24)
