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

Fault detection for quality control of house-hold appliances by non-invasive laser doppler technique and likelihood classifier / Paone, Nicola; Scalise, Lorenzo; G., Stavrakakis; A., Pouliezos. - In: MEASUREMENT. - ISSN 0263-2241. - STAMPA. - 25:(1999), pp. 237-247. [10.1016/S0263-2241(99)00007-X]

Fault detection for quality control of house-hold appliances by non-invasive laser doppler technique and likelihood classifier

PAONE, Nicola;SCALISE, Lorenzo;
1999-01-01

Abstract

This paper addresses the problem of developing an on-line diagnostic system for mechanical quality control of household appliances. The selection of a suitable measurement technique for feature extraction is discussed; the choice of a laser Doppler vibrometer technique and a laboratory measurement station for washing machines is presented. Vibration velocity and displacement are measured over a grid of points on the machine surface and data are stored in a database suitable for processing, both with good appliances and with defect ones with known defects. Features from the vibration velocity spectrum are used as the input to a likelihood classifier, which is shown to achieve very good classification scores.
1999
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/33256
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