A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm.
In order to accurately identify the dynamic health of shearer, reducing operating trouble and production accident of shearer and improving coal production efficiency further, a dynamic health assessment approach for shearer based on artificial immune algorithm was proposed. The key technologies such as system framework, selecting the indicators for shearer dynamic health assessment, and health assessment model were provided, and the flowchart of the proposed approach was designed. A simulation example, with an accuracy of 96%, based on the collected data from industrial production scene was provided. Furthermore, the comparison demonstrated that the proposed method exhibited higher classification accuracy than the classifiers based on back propagation-neural network (BP-NN) and support vector machine (SVM) methods. Finally, the proposed approach was applied in an engineering problem of shearer dynamic health assessment. The industrial application results showed that the paper research achievements could be used combining with shearer automation control system in fully mechanized coal face. The simulation and the application results indicated that the proposed method was feasible and outperforming others.
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Zhongbin
Z
Wang
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Xihua
X
Xu
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China; School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Lei
L
Si
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Rui
R
Ji
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Xinhua
X
Liu
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China; Xuyi Mine Equipment and Materials R&D Center, China University of Mining and Technology, Huai'an 223001, China.
Chao
C
Tan
D000465:Algorithms; D003032:Coal Mining; D006801:Humans; D018570:Risk Assessment; D060388:Support Vector Machine