Home ›
Entities
› academia
› M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis
M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis
Research article (Information Fusion, 2024) · cited 35× · AI/ML
M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis
Summary
M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis is a scholarly article[1].
Key Facts
M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis'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). M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/m-ipisincnet-an-explainable-multi-source-physics-informed-neural-network-based-on-improved-sincnet-for-rolling-bearings-
MLA“M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/m-ipisincnet-an-explainable-multi-source-physics-informed-neural-network-based-on-improved-sincnet-for-rolling-bearings-.
BibTeX@misc{4ortxyz_m-ipisincnet-an-explainable-multi-source-physics-informed-neural-network-based-on-improved-sincnet-for-rolling-bearings-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/m-ipisincnet-an-explainable-multi-source-physics-informed-neural-network-based-on-improved-sincnet-for-rolling-bearings-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): M-IPISincNet: An explainable multi-source physics-informed neural network based on improved SincNet for rolling bearings fault diagnosis — https://4ort.xyz/entity/m-ipisincnet-an-explainable-multi-source-physics-informed-neural-network-based-on-improved-sincnet-for-rolling-bearings- (retrieved 2026-05-24)
