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Fault detection for quality control of household appliances by non-invasive laser Doppler technique and likelihood classifier

Pouliezos Anastasios, Stavrakakis Georgios, Lorenzo Scalise, Nicola Paone

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This paper addresses the problem of developing an on-line diagnostic system for mechanical quality control of householdappliances. The selection of a suitable measurement technique for feature extraction is discussed; the choice of a laserDoppler vibrometer technique and a laboratory measurement station for washing machines is presented. Vibration velocityand displacement are measured over a grid of points on the machine surface and data are stored in a database suitable forprocessing, both with good appliances and with defect ones with known defects. Features from the vibration velocityspectrum are used as the input to a likelihood classifier, which is shown to achieve very good classification scores

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