Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 50× · AI/ML
Press Enter · cited answer in seconds

Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process

Summary

Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process is a scholarly article[1].

Key Facts

  • Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network-
MLA “Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network-.
BibTeX @misc{4ortxyz_physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process}}, year = {2026}, url = {https://4ort.xyz/entity/physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process — https://4ort.xyz/entity/physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/physics-guided-neural-network-remaining-useful-life-prediction-of-rolling-bearings-using-long-short-term-memory-network- · Last refreshed: