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Erschienen in:
Introduction to Condition Monitoring in Mechanical and Electrical Systems Kapitel lesen Erstes Kapitel lesen

2012 | OriginalPaper | Buchkapitel

2. Data Processing Techniques for Condition Monitoring

verfasst von : Tshilidzi Marwala

Erschienen in: Condition Monitoring Using Computational Intelligence Methods

Verlag: Springer London

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Abstract

This chapter reviews data processing techniques for condition monitoring in mechanical and electrical systems. Methods for acquiring data are described and methods for analyzing data are explained. In particular, modal properties, pseudo-modal energies, wavelet and mel-frequency cepstral coefficients techniques are described. In addition, the principal component analysis method is described. Finally, examples that are followed in this book are also described. These examples are gearbox data, the population of cylindrical shells data and transformer bushing data.

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Vorheriges Kapitel Introduction to Condition Monitoring in Mechanical and Electrical Systems
Nächstes Kapitel Multi-Layer Perceptron for Condition Monitoring in a Mechanical System
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Metadaten
Titel
Data Processing Techniques for Condition Monitoring
verfasst von
Tshilidzi Marwala
Copyright-Jahr
2012
Verlag
Springer London
Buch
Condition Monitoring Using Computational Intelligence Methods

Print ISBN: 978-1-4471-2379-8

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

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-4471-2380-4_2

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