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|Title:||MDL and Signal Change Detection in Machine Condition Monitoring|
|Authors:||HULKKONEN Jenni; HEIKKONEN Jukka|
|Citation:||Proceedings of the 1st Workshop on Information Theoretic Methods in Science and Engineering p. 1-4|
|Publisher:||Tampere International Center for Signal Processing (TICSP)|
|Type:||Articles in periodicals and books|
|Abstract:||A minimum description length (MDL) based sequentially normalized maximum likelihood (SNML) approach combined with an autoregressive (AR) model is proposed for signal change detection in machine condition monitoring. The results showed the success of the method to detect signal changes and distinguish different ball bearing failures.|
|JRC Directorate:||Space, Security and Migration|
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