Evaluation method of equipment system contribution rate based on machine learning

Jiajia Wang; Huabo Hu; Jian Hou; Jing Ma; Na Li

doi:10.1117/12.2649066

27 September 2022 Evaluation method of equipment system contribution rate based on machine learning

Jiajia Wang, Huabo Hu, Jian Hou, Jing Ma, Na Li

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123451A (2022) https://doi.org/10.1117/12.2649066
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

This paper mainly provides a method to evaluate the contribution rate of equipment system based on machine learning. Firstly, the index system of contribution rate evaluation of equipment system is established, the requirements of evaluation are clarified, and the normalized data is used as input. The evaluation model based on Principal Component Analysis (PCA) is built, and the contribution rate of the system is sorted by weight calculation. This paper uses experiments to verify the validity of our method.

Citation Download Citation

Jiajia Wang, Huabo Hu, Jian Hou, Jing Ma, and Na Li "Evaluation method of equipment system contribution rate based on machine learning", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123451A (27 September 2022); https://doi.org/10.1117/12.2649066

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