Home ›
Entities
› academia
› Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
Summary
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach is a scholarly article[1].
Key Facts
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach'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). Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/intelligent-fault-diagnosis-for-rotating-machinery-using-deep-q-network-based-health-state-classification-a-deep-reinfor
MLA“Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intelligent-fault-diagnosis-for-rotating-machinery-using-deep-q-network-based-health-state-classification-a-deep-reinfor.
BibTeX@misc{4ortxyz_intelligent-fault-diagnosis-for-rotating-machinery-using-deep-q-network-based-health-state-classification-a-deep-reinfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/intelligent-fault-diagnosis-for-rotating-machinery-using-deep-q-network-based-health-state-classification-a-deep-reinfor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach — https://4ort.xyz/entity/intelligent-fault-diagnosis-for-rotating-machinery-using-deep-q-network-based-health-state-classification-a-deep-reinfor (retrieved 2026-05-24)
