FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023459309> ?p ?o ?g. }

• W2023459309 endingPage "108" @default.
• W2023459309 startingPage "97" @default.
• W2023459309 abstract "In this paper, a novel approach to detect and classify comprehensive fault conditions of induction motors using a hybrid fuzzy min-max (FMM) neural network and classification and regression tree (CART) is proposed. The hybrid model, known as FMM-CART, exploits the advantages of both FMM and CART for undertaking data classification and rule extraction problems. A series of real experiments is conducted, whereby the motor current signature analysis method is applied to form a database comprising stator current signatures under different motor conditions. The signal harmonics from the power spectral density are extracted as discriminative input features for fault detection and classification with FMM-CART. A comprehensive list of induction motor fault conditions, viz., broken rotor bars, unbalanced voltages, stator winding faults, and eccentricity problems, has been successfully classified using FMM-CART with good accuracy rates. The results are comparable, if not better, than those reported in the literature. Useful explanatory rules in the form of a decision tree are also elicited from FMM-CART to analyze and understand different fault conditions of induction motors." @default.
• W2023459309 created "2016-06-24" @default.
• W2023459309 creator A5010188497 @default.
• W2023459309 creator A5027670196 @default.
• W2023459309 creator A5033532011 @default.
• W2023459309 creator A5072923302 @default.
• W2023459309 date "2012-01-01" @default.
• W2023459309 modified "2023-10-02" @default.
• W2023459309 title "Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model" @default.
• W2023459309 cites W1964111207 @default.
• W2023459309 cites W1971745720 @default.
• W2023459309 cites W1973478619 @default.
• W2023459309 cites W1980511849 @default.
• W2023459309 cites W1983381468 @default.
• W2023459309 cites W1985659152 @default.
• W2023459309 cites W1997339696 @default.
• W2023459309 cites W1998264828 @default.
• W2023459309 cites W2006976551 @default.
• W2023459309 cites W2007187232 @default.
• W2023459309 cites W2008266158 @default.
• W2023459309 cites W2010535956 @default.
• W2023459309 cites W2013588815 @default.
• W2023459309 cites W2016475512 @default.
• W2023459309 cites W2016883203 @default.
• W2023459309 cites W2021669172 @default.
• W2023459309 cites W2024580385 @default.
• W2023459309 cites W2024597104 @default.
• W2023459309 cites W2026550072 @default.
• W2023459309 cites W2040203031 @default.
• W2023459309 cites W2040708543 @default.
• W2023459309 cites W2049783156 @default.
• W2023459309 cites W2051160918 @default.
• W2023459309 cites W2057577134 @default.
• W2023459309 cites W2059273272 @default.
• W2023459309 cites W2070747733 @default.
• W2023459309 cites W2071912115 @default.
• W2023459309 cites W2076007326 @default.
• W2023459309 cites W2083520984 @default.
• W2023459309 cites W2096529776 @default.
• W2023459309 cites W2098113420 @default.
• W2023459309 cites W2101231451 @default.
• W2023459309 cites W2101976214 @default.
• W2023459309 cites W2103013437 @default.
• W2023459309 cites W2105503739 @default.
• W2023459309 cites W2109544989 @default.
• W2023459309 cites W2112856783 @default.
• W2023459309 cites W2114112650 @default.
• W2023459309 cites W2117897510 @default.
• W2023459309 cites W2118623933 @default.
• W2023459309 cites W2125406789 @default.
• W2023459309 cites W2125976472 @default.
• W2023459309 cites W2128734408 @default.
• W2023459309 cites W2129021863 @default.
• W2023459309 cites W2132511434 @default.
• W2023459309 cites W2132858010 @default.
• W2023459309 cites W2135186516 @default.
• W2023459309 cites W2136035344 @default.
• W2023459309 cites W2136764259 @default.
• W2023459309 cites W2138461713 @default.
• W2023459309 cites W2139575464 @default.
• W2023459309 cites W2141577822 @default.
• W2023459309 cites W2142632891 @default.
• W2023459309 cites W2143839036 @default.
• W2023459309 cites W2150209175 @default.
• W2023459309 cites W2150319225 @default.
• W2023459309 cites W2154335208 @default.
• W2023459309 cites W2155876893 @default.
• W2023459309 cites W2158812543 @default.
• W2023459309 cites W2166749505 @default.
• W2023459309 cites W2168603260 @default.
• W2023459309 cites W2171872429 @default.
• W2023459309 cites W2727159073 @default.
• W2023459309 cites W4235388752 @default.
• W2023459309 cites W4238314457 @default.
• W2023459309 cites W4253290211 @default.
• W2023459309 doi "https://doi.org/10.1109/tnnls.2011.2178443" @default.
• W2023459309 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24808459" @default.
• W2023459309 hasPublicationYear "2012" @default.
• W2023459309 type Work @default.
• W2023459309 sameAs 2023459309 @default.
• W2023459309 citedByCount "153" @default.
• W2023459309 countsByYear W20234593092012 @default.
• W2023459309 countsByYear W20234593092013 @default.
• W2023459309 countsByYear W20234593092014 @default.
• W2023459309 countsByYear W20234593092015 @default.
• W2023459309 countsByYear W20234593092016 @default.
• W2023459309 countsByYear W20234593092017 @default.
• W2023459309 countsByYear W20234593092018 @default.
• W2023459309 countsByYear W20234593092019 @default.
• W2023459309 countsByYear W20234593092020 @default.
• W2023459309 countsByYear W20234593092021 @default.
• W2023459309 countsByYear W20234593092022 @default.
• W2023459309 countsByYear W20234593092023 @default.
• W2023459309 crossrefType "journal-article" @default.
• W2023459309 hasAuthorship W2023459309A5010188497 @default.
• W2023459309 hasAuthorship W2023459309A5027670196 @default.
• W2023459309 hasAuthorship W2023459309A5033532011 @default.
• W2023459309 hasAuthorship W2023459309A5072923302 @default.

• next