Matches in SemOpenAlex for { <https://semopenalex.org/work/W2522593507> ?p ?o ?g. }
- W2522593507 abstract "Objectives: Gears are machine elements that transmit motion by successively engaging teeth. In technical terms, gears are used to transmit motion. Fault in gears can lead to major problems which may end up in affecting the gear’s functionality. Hence, fault diagnosis at an initial stage is of utmost importance to reduce losses that might occur. Continuous monitoring of the gears is very necessary. Vibration signals recorded for good and faulty conditions are used for fault detection in the helical gearbox. The fault diagnosis is done using feature extraction, feature selection and feature classification. Firstly, feature extraction was carried out using MATLAB software. Feature selection was done using J48 classifier. The classification accuracies for different conditions were calculated and compared by using K-Star classifier and the results obtained were very promising. Methods/Analysis: Vibration signals were obtained from the experimental set up of the helical gearbox. The recorded signals were then used for feature extraction using MATLAB through different wavelet features. The total number of signals extracted was 448 with each class consisting of 64 signals. The families of wavelets taken into account for fault diagnosis were Haar, Discrete Mayer, Daubechies, Biorthogonal, Reverse Biorthogonal, Coiflet and Symlets. In wavelet selection, signals were split into different frequency components and each component was studied with a resolution matched to its scale. J48 classifier was used to carry out the feature selection process and decision tree was obtained for Sym 8 wavelet. The best combination of nodes was visualized and further feature classification was done on these nodes. By varying the global blends the optimum number of objects was selected to obtain the highest classification accuracy. Finding: The classification accuracy for the built model was 91.74%. The data extracted from the vibration signal is used for the classification purpose. This maximum classification accuracy was obtained with K star algorithm. Novelty/Improvements: Wavelet selection was different from Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes. K Star algorithm was used to carry out the fault diagnosis." @default.
- W2522593507 created "2016-09-30" @default.
- W2522593507 creator A5016798484 @default.
- W2522593507 creator A5032534129 @default.
- W2522593507 creator A5036179603 @default.
- W2522593507 creator A5058950778 @default.
- W2522593507 date "2016-09-17" @default.
- W2522593507 modified "2023-10-16" @default.
- W2522593507 title "Fault Diagnosis of Helical Gearbox Using Vibration Signals through K-Star Algorithm and Wavelet Features" @default.
- W2522593507 cites W1874146120 @default.
- W2522593507 cites W1899197958 @default.
- W2522593507 cites W1994225655 @default.
- W2522593507 cites W1995716268 @default.
- W2522593507 cites W2001552907 @default.
- W2522593507 cites W2016402327 @default.
- W2522593507 cites W2032187702 @default.
- W2522593507 cites W2034790739 @default.
- W2522593507 cites W2039958443 @default.
- W2522593507 cites W2057361254 @default.
- W2522593507 cites W2058599657 @default.
- W2522593507 cites W2062931349 @default.
- W2522593507 cites W2073578998 @default.
- W2522593507 cites W2085196724 @default.
- W2522593507 cites W2090578011 @default.
- W2522593507 cites W2139212933 @default.
- W2522593507 cites W2144770046 @default.
- W2522593507 cites W2173526700 @default.
- W2522593507 cites W2308923114 @default.
- W2522593507 cites W2328000847 @default.
- W2522593507 cites W2339403951 @default.
- W2522593507 cites W2409437973 @default.
- W2522593507 cites W3193477162 @default.
- W2522593507 cites W2186841846 @default.
- W2522593507 doi "https://doi.org/10.17485/ijst/2016/v9i33/101341" @default.
- W2522593507 hasPublicationYear "2016" @default.
- W2522593507 type Work @default.
- W2522593507 sameAs 2522593507 @default.
- W2522593507 citedByCount "0" @default.
- W2522593507 crossrefType "journal-article" @default.
- W2522593507 hasAuthorship W2522593507A5016798484 @default.
- W2522593507 hasAuthorship W2522593507A5032534129 @default.
- W2522593507 hasAuthorship W2522593507A5036179603 @default.
- W2522593507 hasAuthorship W2522593507A5058950778 @default.
- W2522593507 hasBestOaLocation W25225935071 @default.
- W2522593507 hasConcept C111919701 @default.
- W2522593507 hasConcept C11413529 @default.
- W2522593507 hasConcept C121332964 @default.
- W2522593507 hasConcept C12267149 @default.
- W2522593507 hasConcept C148483581 @default.
- W2522593507 hasConcept C153180895 @default.
- W2522593507 hasConcept C154945302 @default.
- W2522593507 hasConcept C158453530 @default.
- W2522593507 hasConcept C196216189 @default.
- W2522593507 hasConcept C198394728 @default.
- W2522593507 hasConcept C24890656 @default.
- W2522593507 hasConcept C2780365114 @default.
- W2522593507 hasConcept C41008148 @default.
- W2522593507 hasConcept C47432892 @default.
- W2522593507 hasConcept C52001869 @default.
- W2522593507 hasConcept C52003472 @default.
- W2522593507 hasConcept C52622490 @default.
- W2522593507 hasConcept C75172450 @default.
- W2522593507 hasConcept C95623464 @default.
- W2522593507 hasConceptScore W2522593507C111919701 @default.
- W2522593507 hasConceptScore W2522593507C11413529 @default.
- W2522593507 hasConceptScore W2522593507C121332964 @default.
- W2522593507 hasConceptScore W2522593507C12267149 @default.
- W2522593507 hasConceptScore W2522593507C148483581 @default.
- W2522593507 hasConceptScore W2522593507C153180895 @default.
- W2522593507 hasConceptScore W2522593507C154945302 @default.
- W2522593507 hasConceptScore W2522593507C158453530 @default.
- W2522593507 hasConceptScore W2522593507C196216189 @default.
- W2522593507 hasConceptScore W2522593507C198394728 @default.
- W2522593507 hasConceptScore W2522593507C24890656 @default.
- W2522593507 hasConceptScore W2522593507C2780365114 @default.
- W2522593507 hasConceptScore W2522593507C41008148 @default.
- W2522593507 hasConceptScore W2522593507C47432892 @default.
- W2522593507 hasConceptScore W2522593507C52001869 @default.
- W2522593507 hasConceptScore W2522593507C52003472 @default.
- W2522593507 hasConceptScore W2522593507C52622490 @default.
- W2522593507 hasConceptScore W2522593507C75172450 @default.
- W2522593507 hasConceptScore W2522593507C95623464 @default.
- W2522593507 hasLocation W25225935071 @default.
- W2522593507 hasOpenAccess W2522593507 @default.
- W2522593507 hasPrimaryLocation W25225935071 @default.
- W2522593507 hasRelatedWork W1975488183 @default.
- W2522593507 hasRelatedWork W2029872880 @default.
- W2522593507 hasRelatedWork W2109129598 @default.
- W2522593507 hasRelatedWork W2291058995 @default.
- W2522593507 hasRelatedWork W2351600811 @default.
- W2522593507 hasRelatedWork W2365460650 @default.
- W2522593507 hasRelatedWork W2510586993 @default.
- W2522593507 hasRelatedWork W2521717441 @default.
- W2522593507 hasRelatedWork W2522028669 @default.
- W2522593507 hasRelatedWork W2522510039 @default.
- W2522593507 hasRelatedWork W2523158267 @default.
- W2522593507 hasRelatedWork W2523543880 @default.
- W2522593507 hasRelatedWork W2587724760 @default.
- W2522593507 hasRelatedWork W2910652383 @default.
- W2522593507 hasRelatedWork W3049456049 @default.