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Featured researches published by Sun Lingfang.


international conference on intelligent computation technology and automation | 2008

Research on the Fouling Prediction of Heat Exchanger Based on Support Vector Machine

Sun Lingfang; Zhang Yingying; Zheng Xinpeng; Yang Shanrang; Qin Yukun

The development of prediction researching on heat exchanger fouling in recent years is reviewed. The application of Support Vector Machine based on Statistical Learning Theory to predict heat exchanger fouling is reported in this paper. We construct a six-inputs and one-output network according to the fouling monitor principle and parameters, the modeling of the SVM programmed with MATLAB, and trained with V-SVR algorithm, all training data came from the Automatic Dynamic Simulator of Fouling and input the network after normalized processing and reclassification. Simulations show that the relative error of fouling prediction is less than 0.3 percent, and better than the RBF. SVM can be used to predict heat exchanger fouling, and has perfect prediction precision. The prediction model based on SVM offers anther method for the research of heat exchanger fouling.


world congress on intelligent control and automation | 2002

Development of a new online monitoring system about anti-fouling efficiency of cooling water treatment technology

Sun Lingfang; Yang Shanrang; Li Jing; Wang Jianguo; Xu Zhiming

Points out the imperfection of a present method to monitor and evaluate anti-fouling efficiency of a cooling water treatment technique. The paper proposes a new online monitoring and evaluation method, and introduces mainly the measuring principle, the structure, and the performance of a monitoring system based on the above principle.


international conference on genetic and evolutionary computing | 2010

Design of Excitation Circuits in Ultrasonic Transducers for Fouling Detection

Sun Lingfang; Feng Guoliang; Yu JIA-qi

Based on the description and analysis of Ultrasonic technique used for fouling detection, ultrasonic excitation circuits was designed. The ultrasonic excitation circuits are composed of the timer chip circuit to generate resonant wave, and high-speed MOSFET drivers to control MOSFET. The circuits produce high-voltage pulse wave with capacitor instantaneous electric discharge, and generate high-pressure continuous wave with the power supply voltage act on the transducer directly. The experiment proved that the electric circuits can produce about the 300V pulse voltage, and meet the specification and request to detect pipe surface fouling completely.


international conference on innovative computing and communication and asia-pacific conference on information technology and ocean engineering | 2010

A Novel SVM for Crack Edge Checking of Coal CT Image

Sun Lingfang; Fang Guocheng; Meng Wei

After analyzing the characteristic of ICT (industrial computerized tomography) image and wavelet transformation singularity, an crack edge checking method for coal CT image based on SVM was studied and improved, and applied in crack edge checking of Coal CT image. First we get the direction and approximate bound of the crack using SVM, and then compare the average area grayscale to locate the crack area. At last, we adopt LS-SVM to detect the crack edge, which is processed using polynomial fit to get an accurate, continuous and independent crack edge image. The experiment of Coal CT image rotation validates the robustness of this algorithm, and the comparative experiments with other method prove that the algorithm has strong robustness against noise.


international conference on future biomedical information engineering | 2009

Analysis of coal's character based on HURST index method

Sun Lingfang; Fang Guocheng; Meng Wei

By the Research on Lignite Storage Loss Test, To analyze the change rules of the various brown coals specific characteristics indicators with the changes of the time, To find parameters with influencing character indicators of coal by using the HURST index method, To deliver scientifically method of coal field ministration and turning down calorific value of coal when it is just carried into the plant and when it is sent into the furnace.


international conference on intelligent computation technology and automation | 2008

Development of the New Comprehensive Performance Evaluation Equipment for Enhanced Convective Heat Transfer Techniques

Sun Lingfang; Wang Gong; Zhang Yuheng; Yang Shanrang; Xu Zhiming; Chen Lijun

Based on the new performance evaluation criterion system (PECS) for enhanced convective heat transfer techniques, an evaluation equipment of enhanced heat exchange tube was developed. The equipment structure and functions, parameters measurement and control of auxiliary system were introduced in detail. The monitoring and control software was programmed with the Delphi 7.0, and be used to realize the data acquisition and processing, database operation and management, and many other functions. A kind of new type enhanced heat exchange tube was tested. The experience result shows that apparatus is feasible to evaluate the performance of enhanced convection techniques.


Archive | 2014

Water alkalinity on-line measuring device based on solution image technology and measuring method thereof

Cao Shengxian; Yang Shanrang; Sun Lingfang; Huang Dachang


Archive | 2001

Scaling inhibition in-line monitoring device for water treatment technique

Yang Shanrang; Xu Zhiming; Sun Lingfang


Archive | 2014

Water hardness on-line measurement device based on solution image technology and measurement method thereof

Cao Shengxian; Yang Shanrang; Sun Lingfang; Huang Dachang


Energy Procedia | 2012

Soft-sensing of Oxygen Content of Flue Gas Based on Mixed Model

Sun Lingfang; Wang Yechi

Collaboration


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Yang Shanrang

Northeast Dianli University

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Xu Zhiming

Northeast Dianli University

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Cao Shengxian

Northeast Dianli University

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Feng Guoliang

Northeast Dianli University

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Li Jing

Northeast Agricultural University

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Wang Gong

Northeast Dianli University

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Wang Jianguo

Northeast Dianli University

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Zhang Aiping

North China Electric Power University

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Chen Lijun

Northeast Dianli University

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Fang Guocheng

Northeast Dianli University

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