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Data Processing Techniques for Condition Monitoring

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Condition Monitoring Using Computational Intelligence Methods

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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Authors and Affiliations

  1. Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, Johannesburg, South Africa

    Tshilidzi Marwala

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  1. Tshilidzi Marwala
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Marwala, T. (2012). Data Processing Techniques for Condition Monitoring. In: Condition Monitoring Using Computational Intelligence Methods. Springer, London. https://doi.org/10.1007/978-1-4471-2380-4_2

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

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