Home ›
Entities
› academia
› Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets
Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets
Research article (Measurement, 2023) · cited 35× · AI/ML
Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets
Summary
Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets is a scholarly article[1].
Key Facts
Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets'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). Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-bearing-fault-diagnosis-using-motor-current-signals-a-novel-approach-combining-time-shifting-and-causalconvnet
MLA“Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-bearing-fault-diagnosis-using-motor-current-signals-a-novel-approach-combining-time-shifting-and-causalconvnet.
BibTeX@misc{4ortxyz_enhancing-bearing-fault-diagnosis-using-motor-current-signals-a-novel-approach-combining-time-shifting-and-causalconvnet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-bearing-fault-diagnosis-using-motor-current-signals-a-novel-approach-combining-time-shifting-and-causalconvnet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets — https://4ort.xyz/entity/enhancing-bearing-fault-diagnosis-using-motor-current-signals-a-novel-approach-combining-time-shifting-and-causalconvnet (retrieved 2026-05-24)