Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 118× · AI/ML
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Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter

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Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-extraction-of-multi-sensors-for-early-bearing-fault-diagnosis-using-deep-learning-based-on-minimum-unscented-kal
MLA “Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-extraction-of-multi-sensors-for-early-bearing-fault-diagnosis-using-deep-learning-based-on-minimum-unscented-kal.
BibTeX @misc{4ortxyz_feature-extraction-of-multi-sensors-for-early-bearing-fault-diagnosis-using-deep-learning-based-on-minimum-unscented-kal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter}}, year = {2026}, url = {https://4ort.xyz/entity/feature-extraction-of-multi-sensors-for-early-bearing-fault-diagnosis-using-deep-learning-based-on-minimum-unscented-kal}, note = {Accessed: 2026-05-24}}
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