The Fault Diagnosis of Rolling Bearing Based on WPD and TPOT

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@InProceedings{Zhang:2019:CAC,

• author = "Dingyuan Zhang and Yong Wang",
• booktitle = "2019 Chinese Automation Congress (CAC)",
• title = "The Fault Diagnosis of Rolling Bearing Based on {WPD} and {TPOT}",
• year = "2019",
• pages = "1029--1034",
• month = nov,
• keywords = "genetic algorithms, genetic programming, TPOT",
• ISSN = "2688-0938",
• DOI = "doi:10.1109/CAC48633.2019.8996312",
• abstract = "In this paper, in order to tackle the current problems of rolling bearing fault diagnosis, a new kind of bearing fault diagnosis method based on Wave Packet Decomposition (WPD) and Tree-based Pipeline Optimization Tool (TPOT) is proposed. Firstly, the feature vectors of bearing fault are extracted by using the wavelet packet decomposition. Then, the genetic programming that is based on tree structures is employed to generate the optimal machine learning pipeline. The specific structure and parameters are automatically evolved to obtain the best classification performance. Finally, the method is tested on practical bearing experiments. The experimental results have shown the advantages and effectiveness of the proposed method.",
• notes = "Also known as \cite{8996312}",

}

Genetic Programming entries for Dingyuan Zhang Yong Wang

Citations