Abstract
In the continuous complex production process, the value of quality characteristics is not only a single observation value, but a continuous response curve existing in a given space, which named functional response. This paper proposed a quality optimization method for functional response. Firstly, it obtained the sample combines with the uniform design method and established a functional response model with the Kriging model. Then, it measured the difference between the objective model and the established model using an integral differential method thus translated the functional response optimization to the single response optimization. And then a relation model of samples and single response was built by Kriging model. Finally, to realize quality optimization, it used the GA method to reach the global optimum. The research on the optimal design of LC filter indicated that, the proposed method overcomes the shortages of the traditional single response optimization and obtained better results.
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Cui, Qa., He, B. (2016). Modeling and Optimization of Functional Response Based on Kriging Model. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-180-2_1
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DOI: https://doi.org/10.2991/978-94-6239-180-2_1
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