A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm
Identifieur interne : 000323 ( Main/Merge ); précédent : 000322; suivant : 000324A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm
Auteurs : Zhongbin Wang [République populaire de Chine] ; Xihua Xu [République populaire de Chine] ; Lei Si [République populaire de Chine] ; Rui Ji [République populaire de Chine] ; Xinhua Liu [République populaire de Chine] ; Chao Tan [République populaire de Chine]Source :
- Computational Intelligence and Neuroscience [ 1687-5265 ] ; 2016.
Abstract
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.
Url:
DOI: 10.1155/2016/9674942
PubMed: 27123002
PubMed Central: 4830707
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type="main">A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm</title><author><name sortKey="Wang, Zhongbin" sort="Wang, Zhongbin" uniqKey="Wang Z" first="Zhongbin" last="Wang">Zhongbin Wang</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Xihua" sort="Xu, Xihua" uniqKey="Xu X" first="Xihua" last="Xu">Xihua Xu</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation></author><author><name sortKey="Si, Lei" sort="Si, Lei" uniqKey="Si L" first="Lei" last="Si">Lei Si</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I2">School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation></author><author><name sortKey="Ji, Rui" sort="Ji, Rui" uniqKey="Ji R" first="Rui" last="Ji">Rui Ji</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation></author><author><name sortKey="Liu, Xinhua" sort="Liu, Xinhua" uniqKey="Liu X" first="Xinhua" last="Liu">Xinhua Liu</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation></author><author><name sortKey="Tan, Chao" sort="Tan, Chao" uniqKey="Tan C" first="Chao" last="Tan">Chao Tan</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116</wicri:regionArea><wicri:noRegion>Xuzhou 221116</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I3">Xuyi Mine Equipment and Materials R&D Center, China University of Mining and Technology, Huai'an 223001, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Xuyi Mine Equipment and Materials R&D Center, China University of Mining and Technology, Huai'an 223001</wicri:regionArea><wicri:noRegion>Huai'an 223001</wicri:noRegion></affiliation></author></analytic><series><title level="j">Computational Intelligence and Neuroscience</title><idno type="ISSN">1687-5265</idno><idno type="eISSN">1687-5273</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Brady, B H G" uniqKey="Brady B">B. H. G. Brady</name></author><author><name sortKey="Brown, E T" uniqKey="Brown E">E. T. Brown</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhang, X" uniqKey="Zhang X">X. Zhang</name></author><author><name sortKey="Ma M, X" uniqKey="Ma M X">X. Ma M</name></author><author><name sortKey="Yang, Z S" uniqKey="Yang Z">Z. S. Yang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gao, F" uniqKey="Gao F">F. Gao</name></author><author><name sortKey="Xiao, L J" uniqKey="Xiao L">L. J. Xiao</name></author><author><name sortKey="Zhong, W Y" uniqKey="Zhong W">W. Y. Zhong</name></author><author><name sortKey="Liu, W" uniqKey="Liu W">W. 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