Load Detection and Recognition of Stack Auto-encoder and Multilayer Perceptron

Author:

,Kang Jung Ho

Publisher

The Korean Society of Manufacturing Process Engineers

Reference14 articles.

1. Yang Q, Qu F, Yu Z, Xie Z, “Stress and stability analysis of slewing motion for crawler crane mounted on flexible ground”, Engineering Failure Analysis, Vol. 15, pp. 817-827, 2019.

2. Lee, D. k., Kang, J. h., Kim, T. h., Oh, C. k., Kim, J. m., Kim, J. m., “Analysis of Roller Load by Boom Length and Rotation Angle of a Crawler Crane”, Journal of the Korean Society of Manufacturing Process Engineers, Vol. 20, No. 3, pp. 83-91, 2021.

3. Jang, H. P., Han, D. S., “Compensation of Relation Formula between Luffing Wire Tension and Overturning Moment in a Crawler Crane Considering the Deflection of Boom”, Journal of the Korean Society of Manufacturing Process Engineers, Vol. 10, No. 4, pp. 44-49, 2011

4. Kim, T. H., “A study on hoisting load prediction through deep learning-based crawler crane roller load”, Master’s Thesis, Dong-A University, Republic of Korea, 2021.

5. Kim, M. S., “A study on hoisting load prediction through deep learning-based crawler crane roller load”, Master’s Thesis, Dong-A University, Republic of Korea, 2022.

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1. Application of Multilayer Perceptron to Predict the Flow Coefficient of Liquefied Hydrogen Valve;Journal of the Korean Society of Manufacturing Process Engineers;2024-03-30

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