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Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection
Research article (Shock and Vibration, 2018) · cited 13× · AI/ML
Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection
Summary
Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection is a scholarly article[1].
Key Facts
Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-using-modified-neighborhood-preserving-embedding-and-maximal-overlap-discrete-wavelet-pa
MLA“Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-using-modified-neighborhood-preserving-embedding-and-maximal-overlap-discrete-wavelet-pa.
BibTeX@misc{4ortxyz_rolling-bearing-fault-diagnosis-using-modified-neighborhood-preserving-embedding-and-maximal-overlap-discrete-wavelet-pa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection}}, year = {2026}, url = {https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-using-modified-neighborhood-preserving-embedding-and-maximal-overlap-discrete-wavelet-pa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rolling Bearing Fault Diagnosis Using Modified Neighborhood Preserving Embedding and Maximal Overlap Discrete Wavelet Packet Transform with Sensitive Features Selection — https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-using-modified-neighborhood-preserving-embedding-and-maximal-overlap-discrete-wavelet-pa (retrieved 2026-05-24)
