Development of virtual motor integrated state platform based on data driven and LSTM

Feifei Shan; BinBin Li

doi:10.1117/12.3004147

11 October 2023 Development of virtual motor integrated state platform based on data driven and LSTM

Feifei Shan, BinBin Li

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128006A (2023) https://doi.org/10.1117/12.3004147
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In order to solve the problem that it is difficult to obtain a large amount of motor data support for complex industrial equipment and system modeling in actual scenarios, a virtual motor integrated platform based on machine learning algorithm is proposed to be developed for motor signal data prediction. Taking electrical signal data as an example, machine learning algorithm is combined with database system. It can not only provide visual software ecology for algorithmic prediction model, but also provide support for continuous optimization of algorithmic prediction model by using database management and data accumulation. The experimental results show that it is feasible to combine database and algorithm model to predict motor signal in university.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feifei Shan and BinBin Li "Development of virtual motor integrated state platform based on data driven and LSTM", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128006A (11 October 2023); https://doi.org/10.1117/12.3004147

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