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A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system
Research article (Neurocomputing, 2017) · cited 53× · AI/ML
A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system
Summary
A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system is a scholarly article[1].
Key Facts
A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-adaptive-fault-detection-methodology-for-complex-system-using-deep-belief-networks-and-multiple-models-a-case-st
MLA“A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-adaptive-fault-detection-methodology-for-complex-system-using-deep-belief-networks-and-multiple-models-a-case-st.
BibTeX@misc{4ortxyz_a-novel-adaptive-fault-detection-methodology-for-complex-system-using-deep-belief-networks-and-multiple-models-a-case-st_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-adaptive-fault-detection-methodology-for-complex-system-using-deep-belief-networks-and-multiple-models-a-case-st}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system — https://4ort.xyz/entity/a-novel-adaptive-fault-detection-methodology-for-complex-system-using-deep-belief-networks-and-multiple-models-a-case-st (retrieved 2026-05-24)
