Construction of power equipment fault feature model based on unified semantic expression

Qiugen Pei; Zewu Peng; Qiang Chen; Yuhong Shen; Huaquan Su

doi:10.1117/12.2671876

28 February 2023 Construction of power equipment fault feature model based on unified semantic expression

Qiugen Pei, Zewu Peng, Qiang Chen, Yuhong Shen, Huaquan Su

Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 1259605 (2023) https://doi.org/10.1117/12.2671876
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China

Abstract

In view of the poor recognition effect of power equipment fault features in China, a method for building power equipment fault feature model based on unified semantic expression is proposed. The power equipment fault information is identified by combining the unified semantic expression principle. And the phase space reconstruction algorithm is constructed according to the feature semantics of the identified fault information. The power equipment fault feature model is optimized based on the reconstruction results. Finally, it is verified by experiments, the power equipment fault feature model based on unified semantic expression can quickly identify the semantic features of fault information in the process of practical application, and effectively improve the recognition effect.

Citation Download Citation

Qiugen Pei, Zewu Peng, Qiang Chen, Yuhong Shen, and Huaquan Su "Construction of power equipment fault feature model based on unified semantic expression", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 1259605 (28 February 2023); https://doi.org/10.1117/12.2671876

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