Volume 45 Issue 2
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SUN Tao, DAI Bangwu, CHU Fei, MA Xiaoping. Performance prediction method for large-centrifugal ventilator[J]. Journal of Mine Automation, 2019, 45(2): 70-74. DOI: 10.13272/j.issn.1671-251x.2018100014
Citation: SUN Tao, DAI Bangwu, CHU Fei, MA Xiaoping. Performance prediction method for large-centrifugal ventilator[J]. Journal of Mine Automation, 2019, 45(2): 70-74. DOI: 10.13272/j.issn.1671-251x.2018100014
shu

Performance prediction method for large-centrifugal ventilator

  • 1.

    Yunnan Nengtou Coal Industry Co., Ltd., Kunming 650228, China

  • 2.

    School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China

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  • In view of problems that existing performance prediction methods for centrifugal ventilator cannot fully utilize historical operation data of centrifugal ventilator and have long modeling period, performance prediction method for large-centrifugal ventilator based on LSSVM and LHS was proposed. Outlet pressure is selected as index to measure performance of ventilator, and performance prediction model of centrifugal ventilator is established by using LSSVM. Inlet temperature, inlet pressure, inlet flow rate and rotational speed of the centrifugal ventilator are collected by LHS method, and the collected data are normalized for training of LSSVM model. Validity of the established model is verified by testing data. The simulation results show that the performance prediction method for large-centrifugal ventilator based on LSSVM and LHS can make full use of existing ventilator data information to quickly and accurately predict performance of ventilator.
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