Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313410902> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4313410902 endingPage "9635" @default.
- W4313410902 startingPage "9635" @default.
- W4313410902 abstract "The existing motor fault classification methods mostly use sensors to detect a single fault feature, which makes it difficult to ensure high diagnostic accuracy. In this paper, a motor fault classification method based on multi-source information fusion Naive Bayes classification algorithm is proposed. Firstly, this paper introduces the concept and advantages of multi-source information fusion, as well as its problems of miscellaneous information and inconsistent data magnitude. For example, as this paper classifies the fault of generators, there are many physical quantities, such as voltage, current and temperature, which are not in the same dimension, therefore it is difficult to fuse. Then, aiming at the corresponding problems, this paper uses a PCA dimension reduction method to remove redundant information and reduce the dimension of multi-dimensional complex information. Aiming at the problem of unequal data magnitude, the interval mapping method is adopted to effectively solve the misjudgment caused by unequal data magnitude. After the initial multi-source information processing, the classical Naive Bayes classification algorithm is used for fault classification, and the algorithm diagnosis and verification are carried out according to the statistical fault data. Use of the algorithm increases accuracy to more than 97%." @default.
- W4313410902 created "2023-01-06" @default.
- W4313410902 creator A5029667848 @default.
- W4313410902 creator A5034216049 @default.
- W4313410902 creator A5050075955 @default.
- W4313410902 creator A5058666043 @default.
- W4313410902 creator A5064619972 @default.
- W4313410902 date "2022-12-19" @default.
- W4313410902 modified "2023-09-30" @default.
- W4313410902 title "Generator Fault Classification Method Based on Multi-Source Information Fusion Naive Bayes Classification Algorithm" @default.
- W4313410902 cites W1968389335 @default.
- W4313410902 cites W1973690609 @default.
- W4313410902 cites W1978053629 @default.
- W4313410902 cites W1996056654 @default.
- W4313410902 cites W2071908367 @default.
- W4313410902 cites W2079942259 @default.
- W4313410902 cites W2107430429 @default.
- W4313410902 cites W2108182974 @default.
- W4313410902 cites W2116373429 @default.
- W4313410902 cites W2122214279 @default.
- W4313410902 cites W2132383137 @default.
- W4313410902 cites W2145384057 @default.
- W4313410902 cites W2314976790 @default.
- W4313410902 cites W2315577134 @default.
- W4313410902 cites W2898488758 @default.
- W4313410902 doi "https://doi.org/10.3390/en15249635" @default.
- W4313410902 hasPublicationYear "2022" @default.
- W4313410902 type Work @default.
- W4313410902 citedByCount "1" @default.
- W4313410902 countsByYear W43134109022023 @default.
- W4313410902 crossrefType "journal-article" @default.
- W4313410902 hasAuthorship W4313410902A5029667848 @default.
- W4313410902 hasAuthorship W4313410902A5034216049 @default.
- W4313410902 hasAuthorship W4313410902A5050075955 @default.
- W4313410902 hasAuthorship W4313410902A5058666043 @default.
- W4313410902 hasAuthorship W4313410902A5064619972 @default.
- W4313410902 hasBestOaLocation W43134109021 @default.
- W4313410902 hasConcept C107673813 @default.
- W4313410902 hasConcept C110083411 @default.
- W4313410902 hasConcept C11413529 @default.
- W4313410902 hasConcept C121332964 @default.
- W4313410902 hasConcept C12267149 @default.
- W4313410902 hasConcept C124101348 @default.
- W4313410902 hasConcept C127313418 @default.
- W4313410902 hasConcept C153180895 @default.
- W4313410902 hasConcept C154945302 @default.
- W4313410902 hasConcept C163258240 @default.
- W4313410902 hasConcept C165205528 @default.
- W4313410902 hasConcept C175551986 @default.
- W4313410902 hasConcept C202444582 @default.
- W4313410902 hasConcept C207201462 @default.
- W4313410902 hasConcept C2780992000 @default.
- W4313410902 hasConcept C33676613 @default.
- W4313410902 hasConcept C33923547 @default.
- W4313410902 hasConcept C33954974 @default.
- W4313410902 hasConcept C41008148 @default.
- W4313410902 hasConcept C52001869 @default.
- W4313410902 hasConcept C62520636 @default.
- W4313410902 hasConceptScore W4313410902C107673813 @default.
- W4313410902 hasConceptScore W4313410902C110083411 @default.
- W4313410902 hasConceptScore W4313410902C11413529 @default.
- W4313410902 hasConceptScore W4313410902C121332964 @default.
- W4313410902 hasConceptScore W4313410902C12267149 @default.
- W4313410902 hasConceptScore W4313410902C124101348 @default.
- W4313410902 hasConceptScore W4313410902C127313418 @default.
- W4313410902 hasConceptScore W4313410902C153180895 @default.
- W4313410902 hasConceptScore W4313410902C154945302 @default.
- W4313410902 hasConceptScore W4313410902C163258240 @default.
- W4313410902 hasConceptScore W4313410902C165205528 @default.
- W4313410902 hasConceptScore W4313410902C175551986 @default.
- W4313410902 hasConceptScore W4313410902C202444582 @default.
- W4313410902 hasConceptScore W4313410902C207201462 @default.
- W4313410902 hasConceptScore W4313410902C2780992000 @default.
- W4313410902 hasConceptScore W4313410902C33676613 @default.
- W4313410902 hasConceptScore W4313410902C33923547 @default.
- W4313410902 hasConceptScore W4313410902C33954974 @default.
- W4313410902 hasConceptScore W4313410902C41008148 @default.
- W4313410902 hasConceptScore W4313410902C52001869 @default.
- W4313410902 hasConceptScore W4313410902C62520636 @default.
- W4313410902 hasIssue "24" @default.
- W4313410902 hasLocation W43134109021 @default.
- W4313410902 hasLocation W43134109022 @default.
- W4313410902 hasOpenAccess W4313410902 @default.
- W4313410902 hasPrimaryLocation W43134109021 @default.
- W4313410902 hasRelatedWork W2782536477 @default.
- W4313410902 hasRelatedWork W3000948861 @default.
- W4313410902 hasRelatedWork W3044272884 @default.
- W4313410902 hasRelatedWork W3134391916 @default.
- W4313410902 hasRelatedWork W3168126470 @default.
- W4313410902 hasRelatedWork W3192662594 @default.
- W4313410902 hasRelatedWork W4220987052 @default.
- W4313410902 hasRelatedWork W4300980785 @default.
- W4313410902 hasRelatedWork W4312865284 @default.
- W4313410902 hasRelatedWork W4385512994 @default.
- W4313410902 hasVolume "15" @default.
- W4313410902 isParatext "false" @default.
- W4313410902 isRetracted "false" @default.
- W4313410902 workType "article" @default.