Robust Estimation Algorithm for Technological Parameters of Automotive Ignition Coil

Qisong Wang; Dan Liu; Yongping Zhao
December 2011
International Journal of Digital Content Technology & its Applic;Dec2011, Vol. 5 Issue 12, p119
Academic Journal
An Improved Robust Least Squares Support Vector Regression (IRLSSVR) based on IGGIII weight function is presented to solve the problem that the technological parameters estimated precision of automotive ignition coil are usually influenced by gross errors. By utilizing IGGIII weight function, the novel method is able to define the outlier degrees of all the experimental data, and then classify the confidential samples, the suspicious samples and the gross errors samples whose weights are repec- tively retained, reduced and removed. The comparison with Robust Least Squares Support Vector Re- gression (RLSSVR) demonstrates that the improved method restrain the disturbance caused by gross errors and enhance the robustness and precision of the estimation.


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