An Approach for Straightening Force Prediction of Continuous Casting Machine Segment Based on MAML-LSTM

Segment is a key component of continuous casting machine, which frequently appears faults. The straightening force is an important indicator for working state of continuous casting machine, effectively reflecting the segment fault. To provide data support for identification of segment fault quickly and accurately, an approach for straightening force prediction based on the MAML-LSTM is proposed. Firstly, the characteristics of straightening force for segment is analyzed, and the corresponding straightening force time series data is preprocessed using wavelet transform adaptive threshold for reducing the interference of external factors. Second, through analysis of influencing factors for straightening force, the straightening force dataset is constructed. After that, to address the issue of poor sample of segment fault, the MAML-LSTM model for straightening force prediction is built, where the straightening force dataset is employed for meta-training and meta-testing. Finally, the results of experiment verify effectiveness and feasibility of the proposed approach, which can effectively improve the accuracy of straightening force prediction. It can provide valuable data support for segment fault identification in continuous casting.