Home ›
Entities
› academia
› A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures
Research article (Sensors, 2020) · cited 66× · AI/ML
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures
Summary
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures is a scholarly article[1].
Key Facts
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-end-to-end-fault-diagnosis-approach-for-rolling-bearings-by-integrating-wavelet-packet-transform-into-convolutio
MLA“A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-end-to-end-fault-diagnosis-approach-for-rolling-bearings-by-integrating-wavelet-packet-transform-into-convolutio.
BibTeX@misc{4ortxyz_a-novel-end-to-end-fault-diagnosis-approach-for-rolling-bearings-by-integrating-wavelet-packet-transform-into-convolutio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-end-to-end-fault-diagnosis-approach-for-rolling-bearings-by-integrating-wavelet-packet-transform-into-convolutio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures — https://4ort.xyz/entity/a-novel-end-to-end-fault-diagnosis-approach-for-rolling-bearings-by-integrating-wavelet-packet-transform-into-convolutio (retrieved 2026-05-24)
