Home ›
Entities
› academia
› Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder
Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder
Research article (Measurement Science and Technology, 2023) · cited 10× · AI/ML
Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder
Summary
Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder is a scholarly article[1].
Key Facts
Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder'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). Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/early-sub-surface-fault-detection-in-rolling-element-bearing-using-acoustic-emission-signal-based-on-a-hybrid-parameter-
MLA“Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/early-sub-surface-fault-detection-in-rolling-element-bearing-using-acoustic-emission-signal-based-on-a-hybrid-parameter-.
BibTeX@misc{4ortxyz_early-sub-surface-fault-detection-in-rolling-element-bearing-using-acoustic-emission-signal-based-on-a-hybrid-parameter-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/early-sub-surface-fault-detection-in-rolling-element-bearing-using-acoustic-emission-signal-based-on-a-hybrid-parameter-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder — https://4ort.xyz/entity/early-sub-surface-fault-detection-in-rolling-element-bearing-using-acoustic-emission-signal-based-on-a-hybrid-parameter- (retrieved 2026-05-24)
