FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034652182> ?p ?o ?g. }

• W2034652182 endingPage "554" @default.
• W2034652182 startingPage "542" @default.
• W2034652182 abstract "Fault diagnosis is very important to ensure the safe operation of hydraulic generator units (HGU). Shaft orbit identification has been highlighted as an effective method for HGU fault diagnosis in the past few years. The purpose of this paper is to propose a novel shaft orbit identification method based on comprehensive geometric characteristics and probability neural network (CGC–PNN) for HGU fault diagnosis. In this method, macroscopic Euler-number (ME), fuzzy convex–concave feature (FCC) and boundary-layer feature (BL) are proposed to represent shaft orbits from three different aspects: structure, region and boundary. Therefore, the most effective and comprehensive image information is fully integrated by the feature vector composed of ME, FCC and BL. Furthermore, probability neural network (PNN) has been introduced as the classifier according to the simplicity of the feature vector. Finally, we apply the proposed method to 800 samples and the experimental results indicate that the proposed method can achieve an efficient accuracy in HGU fault diagnosis." @default.
• W2034652182 created "2016-06-24" @default.
• W2034652182 creator A5035223959 @default.
• W2034652182 creator A5043523337 @default.
• W2034652182 creator A5058691675 @default.
• W2034652182 creator A5068612123 @default.
• W2034652182 creator A5079576759 @default.
• W2034652182 creator A5091189673 @default.
• W2034652182 date "2014-03-01" @default.
• W2034652182 modified "2023-10-12" @default.
• W2034652182 title "Fault diagnosis based on comprehensive geometric characteristic and probability neural network" @default.
• W2034652182 cites W1963557245 @default.
• W2034652182 cites W1964168965 @default.
• W2034652182 cites W1972138769 @default.
• W2034652182 cites W1972677626 @default.
• W2034652182 cites W1976358019 @default.
• W2034652182 cites W1977957079 @default.
• W2034652182 cites W1980460580 @default.
• W2034652182 cites W1987956660 @default.
• W2034652182 cites W1990757100 @default.
• W2034652182 cites W1996644668 @default.
• W2034652182 cites W2000532519 @default.
• W2034652182 cites W2000911430 @default.
• W2034652182 cites W2004084358 @default.
• W2034652182 cites W2027626104 @default.
• W2034652182 cites W2039958443 @default.
• W2034652182 cites W2040070030 @default.
• W2034652182 cites W2050696805 @default.
• W2034652182 cites W2072418637 @default.
• W2034652182 cites W2074949023 @default.
• W2034652182 cites W2076179745 @default.
• W2034652182 cites W2081097942 @default.
• W2034652182 cites W2087528435 @default.
• W2034652182 cites W2092897723 @default.
• W2034652182 cites W2110413117 @default.
• W2034652182 cites W2146110451 @default.
• W2034652182 cites W2159498975 @default.
• W2034652182 cites W2533254596 @default.
• W2034652182 doi "https://doi.org/10.1016/j.amc.2013.12.122" @default.
• W2034652182 hasPublicationYear "2014" @default.
• W2034652182 type Work @default.
• W2034652182 sameAs 2034652182 @default.
• W2034652182 citedByCount "15" @default.
• W2034652182 countsByYear W20346521822014 @default.
• W2034652182 countsByYear W20346521822015 @default.
• W2034652182 countsByYear W20346521822017 @default.
• W2034652182 countsByYear W20346521822018 @default.
• W2034652182 countsByYear W20346521822019 @default.
• W2034652182 countsByYear W20346521822020 @default.
• W2034652182 countsByYear W20346521822021 @default.
• W2034652182 countsByYear W20346521822022 @default.
• W2034652182 crossrefType "journal-article" @default.
• W2034652182 hasAuthorship W2034652182A5035223959 @default.
• W2034652182 hasAuthorship W2034652182A5043523337 @default.
• W2034652182 hasAuthorship W2034652182A5058691675 @default.
• W2034652182 hasAuthorship W2034652182A5068612123 @default.
• W2034652182 hasAuthorship W2034652182A5079576759 @default.
• W2034652182 hasAuthorship W2034652182A5091189673 @default.
• W2034652182 hasConcept C11413529 @default.
• W2034652182 hasConcept C116834253 @default.
• W2034652182 hasConcept C12267149 @default.
• W2034652182 hasConcept C124101348 @default.
• W2034652182 hasConcept C127313418 @default.
• W2034652182 hasConcept C134306372 @default.
• W2034652182 hasConcept C138885662 @default.
• W2034652182 hasConcept C153180895 @default.
• W2034652182 hasConcept C154945302 @default.
• W2034652182 hasConcept C165205528 @default.
• W2034652182 hasConcept C175551986 @default.
• W2034652182 hasConcept C2776401178 @default.
• W2034652182 hasConcept C33923547 @default.
• W2034652182 hasConcept C41008148 @default.
• W2034652182 hasConcept C41895202 @default.
• W2034652182 hasConcept C50644808 @default.
• W2034652182 hasConcept C59822182 @default.
• W2034652182 hasConcept C62354387 @default.
• W2034652182 hasConcept C83665646 @default.
• W2034652182 hasConcept C86803240 @default.
• W2034652182 hasConcept C95623464 @default.
• W2034652182 hasConceptScore W2034652182C11413529 @default.
• W2034652182 hasConceptScore W2034652182C116834253 @default.
• W2034652182 hasConceptScore W2034652182C12267149 @default.
• W2034652182 hasConceptScore W2034652182C124101348 @default.
• W2034652182 hasConceptScore W2034652182C127313418 @default.
• W2034652182 hasConceptScore W2034652182C134306372 @default.
• W2034652182 hasConceptScore W2034652182C138885662 @default.
• W2034652182 hasConceptScore W2034652182C153180895 @default.
• W2034652182 hasConceptScore W2034652182C154945302 @default.
• W2034652182 hasConceptScore W2034652182C165205528 @default.
• W2034652182 hasConceptScore W2034652182C175551986 @default.
• W2034652182 hasConceptScore W2034652182C2776401178 @default.
• W2034652182 hasConceptScore W2034652182C33923547 @default.
• W2034652182 hasConceptScore W2034652182C41008148 @default.
• W2034652182 hasConceptScore W2034652182C41895202 @default.
• W2034652182 hasConceptScore W2034652182C50644808 @default.
• W2034652182 hasConceptScore W2034652182C59822182 @default.
• W2034652182 hasConceptScore W2034652182C62354387 @default.
• W2034652182 hasConceptScore W2034652182C83665646 @default.

• next