Eddy current signatures classification by using time series: a system modeling approach

Blaise Guepie, Mihaly Petreczky, and Stéphane Lecoeuche
Submission Type: 
Full Paper
phmc_14_079.pdf1023.83 KBSeptember 17, 2014 - 11:23pm

Non destructive testing methods are often used in order to detect
and classify structural flaws. The detection of structural
flaws is useful for maintenance. In this paper we propose to
classify flaws in ferromagnetic materials by measuring Eddy
currents. Our approach consists of two steps. First, we use
a system identification algorithm to find a dynamical system
which describes the data. Then, we use the parameters of this
dynamical system as a feauture vector and we use support
vector machines in order to classify the various faults. We
test our method on a well-known benchmark data available at : http://wireless.feld.cvut.cz/diagnolab/node/16. This benchmark is particularly challenging, since the flaws might be more difficult to separate due to the variation of the scanning speed. The experimental evaluation shows that our approach gives good results.

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Submission Keywords: 
predictive maintenance
dynamical model
system identification
Eddy currents
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
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