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2012 | OriginalPaper | Chapter

11. On-line Condition Monitoring Using Ensemble Learning

Author : Tshilidzi Marwala

Published in: Condition Monitoring Using Computational Intelligence Methods

Publisher: Springer London

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Abstract

This chapter introduces an on-line bushing condition monitoring approach, which can adapt to newly acquired data. This approach can accommodate new classes that are introduced by incoming data and it was implemented using an incremental learning algorithm that uses the multi-layered perceptron. The results improved from 67.5% to 95.8% as new data were introduced and the results improved from 60% to 95.3% as new conditions were introduced. On average, the confidence value of the framework about its decision was 0.92.

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Title: On-line Condition Monitoring Using Ensemble Learning
Author: Tshilidzi Marwala
Publisher: Springer London
Book: Condition Monitoring Using Computational Intelligence Methods
Print ISBN: 978-1-4471-2379-8

Electronic ISBN: 978-1-4471-2380-4

Copyright Year: 2012
DOI: https://doi.org/10.1007/978-1-4471-2380-4_11

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