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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/612AB8B1-CE0D-47F4-836F-9EBC278FFB0E | - |
| Identifier | https://doi.org/10.1117/12.386766 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Intelligent online quality control using discrete wavelet analysis features and likelihood classification | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | Pouliezos, A.D., 1951- | en |
| Creator | Stavrakakis Georgios | en |
| Creator | Σταυρακακης Γεωργιος | el |
| Creator | Enrico Tomasini | en |
| Creator | Nicola Paone | en |
| Creator | Lorenzo Scalise | en |
| Content Summary | This paper presents a method for extracting features in the wavelet domain of vibration velocity transient signals of washing machines, that are then used for classification of the state (acceptable-faulty) of the product. The Discrete Wavelet Transform in conjunction with Statistical Digital Signal Processing techniques are used for feature extraction. The performance of this feature set is compared to features obtained through standard Fourier analysis of the stationary part of the 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 | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-23 | - |
| Date of Publication | 2000 | - |
| Subject | Projects, Physics | en |
| Subject | physics projects | en |
| Subject | projects physics | en |
| Subject | Washing machines | en |
| Bibliographic Citation | S. Goumas, M. Zervakis, A. Pouliezos, G.S. Stavrakakis, E. P. Tomasini, N.Paone, L. Scalise ,"Intelligent online quality control using discrete wavelet analysis features and likelihood classification ,"in 2000 4th Intern.l Conf. on Vibration Meas. by Laser Techniques,pp.500-511.doi:10.1117/12.386766 | en |
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