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Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory

Research article (2017 Chinese Automation Congress (CAC), 2017) · cited 12× · AI/ML
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Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory

Summary

Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory is a scholarly article[1].

Key Facts

  • Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/research-on-gas-pressure-regulator-fault-diagnosis-based-on-deep-confidence-network-dbn-theory
MLA “Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/research-on-gas-pressure-regulator-fault-diagnosis-based-on-deep-confidence-network-dbn-theory.
BibTeX @misc{4ortxyz_research-on-gas-pressure-regulator-fault-diagnosis-based-on-deep-confidence-network-dbn-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory}}, year = {2026}, url = {https://4ort.xyz/entity/research-on-gas-pressure-regulator-fault-diagnosis-based-on-deep-confidence-network-dbn-theory}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory — https://4ort.xyz/entity/research-on-gas-pressure-regulator-fault-diagnosis-based-on-deep-confidence-network-dbn-theory (retrieved 2026-05-24)

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