Abstract
The method of fault diagnosis for power equipment (PE) based on single source information has its uncertainty and inaccuracy, and the relation between symptoms and faults is complex and uncertain. So, the fault should be described by multiple and different characteristic information, and the idea of internet of things (IoT) is introduced into the fault diagnosis for PE. IoT can provide multi-characteristic information for fault diagnosis, including on-line monitoring information and patrol information, and more accurate and reliable diagnosis results can be obtained by handing and processing the information with the help of information fusion. In the paper, IoT and multi-source symptom information are introduced firstly. Then, the structure of information fusion is built. Finally, a simple architecture of fault diagnosis system for PE based on IoT is presented.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhu, Y., Huang, X., Zhang, J., Luo, J., He, J. (2012). Fault Diagnosis for Power Equipment Based on IoT. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_41
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DOI: https://doi.org/10.1007/978-3-642-32427-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32426-0
Online ISBN: 978-3-642-32427-7
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