Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/B201147F-C976-45E2-8512-7B964034C8A0 | - |
| Identifier | https://doi.org/10.1016/S0952-1976(01)00028-8 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Intelligent on-line quality control of washing machines using discrete wavelet analysis features and likelihood classification | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | Stavrakakis Georgios | en |
| Creator | Σταυρακακης Γεωργιος | el |
| Creator | Pouliezos, A.D., 1951- | en |
| Creator | S.Goumas | en |
| Publisher | Elsevier | en |
| Content Summary | This paper presents a method for extracting features in the wavelet domain from the vibration velocity signals of washing machines, focusing on the transient (non-stationary) part of the signal. These features are then used for classification of the state (acceptable-faulty) of the machine. The performance of this feature set is compared to features obtained through standard Fourier analysis of the steady-state (stationary) part of the vibration signal. Minimum distance Bayes classifiers are used for classification purposes. Measurements from a variety of defective/non-defective washing machines taken in the laboratory as well as from the production line are used to illustrate the applicability of the proposed method. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-23 | - |
| Date of Publication | 2001 | - |
| Subject | Washing machines | en |
| Bibliographic Citation | S. Goumas, M. Zervakis, A. Pouliezos, G.S. Stavrakakis," Intelligent on-line quality control of washing machines using discrete wavelet analysis features and likelihood classification," Engin. Applications of Art.Intelligence,vol. 14,no. 5,pp. 655-666,2001.doi:10.1016/S0952-1976(01)00028-8 | en |
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