The Experts below are selected from a list of 7668 Experts worldwide ranked by ideXlab platform
Chai Tian-you - One of the best experts on this subject based on the ideXlab platform.
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Status Recognition Research for Rotary Kiln Based on Flame Image Features and BT-SVM
Computer Simulation, 2009Co-Authors: Chai Tian-youAbstract:Considering the complexity, importance of the condition variation of the alumina rotary kiln Burning Zone and the deficiency of process detection method, a new method was put forward, in order to simulate traditional man-watch operation with computer image processing techniques. At first, flame image features were extracted, hybrid features were composed with important process data, then status recognition model was constructed based on semi-symmetrical binary tree structure and SVM theory, and hybrid features were used as model input, status recognition results as model output, status recognition research was carried out for Burning Zone of alumina rotary kiln. At last, this method was applied to the application research based on the flame image and process data from practical industrial process, then a satisfied result was got.
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Study on Soft Sensor for Temperature of Burning Zone Based on SVR
Computer Simulation, 2008Co-Authors: Chai Tian-youAbstract:A new soft sensor method for temperature of the Burning Zone of the rotary kiln was proposed. Firstly, the flame Zone and material Zone were segmented from the Burning image using ostu method, and the characters were extracted. Then the steepest descents method was used to select the parameters of SVR model, and the SVR model for measuring the temperature of Burning Zone was set up based on selected parameters. At last, the prior moving average method was proposed as filter method. This method was applied to the 3# alumina rotary kiln of the Shanxi alumina production manufacture. Many experiments prove the final goodness of fit between the measured temperature and real temperature is 0.927, which shows the practicability and precision of this soft sensor method.
Xiaohong Wang - One of the best experts on this subject based on the ideXlab platform.
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Single-step prediction method of Burning Zone temperature based on real-time wavelet filtering and KELM
Engineering Applications of Artificial Intelligence, 2018Co-Authors: Shizeng Lu, Huijun Dong, Hongliang Yu, Xiaohong WangAbstract:Abstract The single-step prediction of Burning Zone temperature plays an important role in the safety and stability control of cement rotary kiln. This is because, the abnormal temperature events can be found as early as possible and the operator can take effective emergency measures in time. In this paper, the Burning Zone temperature single-step prediction method based on real-time wavelet filtering and kernel extreme learning machine is studied. Firstly, the visual inspection device is used to detect the Burning Zone temperature. And then, the amplitude limited filtering method is used to weaken the effects of temperature anomalies. On this basis, the real-time filtering of the Burning Zone temperature is realized by combining the sliding time window and wavelet filtering method. After that, the single-step prediction of Burning Zone temperature is realized by combining the sliding time window and kernel extreme learning machine method. At last, the Burning Zone temperature prediction method is validated. The minimum root mean squared error of the 5 consecutive days is 0 . 4259 ° C . The single average running time of model training and prediction of kernel extreme learning machine is much less than support vector regression, which is very helpful for the online prediction of Burning Zone temperature. The result shows that the Burning Zone temperature single-step prediction method proposed in this paper is feasible and effective.
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trend extraction and identification method of cement Burning Zone flame temperature based on emd and least square
Measurement, 2017Co-Authors: Shizeng Lu, Huijun Dong, Hongliang Yu, Xiaohong Wang, Zhongqiang YangAbstract:Abstract The trend analysis of the temperature change of Burning Zone is very important for the normal production of cement clinker. In this paper, empirical mode decomposition (EMD) combined with the least square method is researched to realize the trend extraction and identification of cement Burning Zone flame temperature. Firstly, the temperature data is decomposed by EMD to obtain every intrinsic mode function (IMF) and the remainder. Then, the least square method is used to fit every IMF and the remainder. With the fitting error as the judgment criterion, the trend of the signal is extracted as the combination of the IMF components with less fitting error and the remainder. Further, the first derivative of the fitting function is used to determine the fundamental change in the trend of the signal, and the trend identification result is obtained. At last, the trend extraction and identification method is validated on the Burning Zone temperature data obtained from a cement company. The results show that the trend extraction and identification of the Burning Zone temperature based on EMD and least square is effective. More importantly, the method proposed in this paper can automatically determine the number of EMD decomposition layers. It does not have the problem of artificial selection of basis function and decomposition layers, and does not require empirical knowledge and complex experimental procedures for extracting trend item of Burning Zone temperature. This paper provides a feasible method for the extraction and identification of the Burning Zone temperature.
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Single-step prediction method of Burning Zone temperature based on LSSVM
2017 Chinese Automation Congress (CAC), 2017Co-Authors: Shizeng Lu, Hongliang Yu, Xiaohong Wang, Rongfeng ZhangAbstract:The single-step prediction of Burning Zone temperature plays an important role in the safety and stability control of cement rotary kiln. In this paper, the Burning Zone temperature prediction method based on least squares support vector machine is studied. First, the visual inspection device is used to detect the Burning Zone temperature. And then, the moving average filtering process is performed to obtain a relatively smooth temperature data. On the basis of this, the temperature prediction model based on least squares support vector machine is constructed by taking the current value of the Burning Zone temperature and the previous time value as the input and the next time value as the output. At last, the Burning Zone temperature prediction method is validated. The result shows that this paper provides a feasible method for the single-step prediction of Burning Zone temperature.
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Trend extraction method of Burning Zone temperature based on singular spectrum analysis
2017 Chinese Automation Congress (CAC), 2017Co-Authors: Xiaohong Wang, Yongjian Sun, Fangqian NingAbstract:The trend extraction of the Burning Zone temperature is the basis for the Burning state identification and stability control of the cement. In this paper, the trend extraction method of the Burning Zone temperature based on singular spectrum analysis is studied. Firstly, a visual inspection device is used to detect the temperature of the Burning Zone. Then, the singular spectrum analysis is carried out to obtain the singular spectrum eigenvalue of the temperature. After that, the appropriate contribution rate of the singular spectrum eigenvalue is selected, and the signal is reconstructed to extract the trend of the temperature signal. At last, the trend extraction method is validated on some Burning Zone temperature data, which are obtained from a cement company. The result shows that this paper provides a feasible method for extracting the trend of the Burning Zone temperature.
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Research on the intelligent control system of Nickel-iron rotary kiln
Proceedings of the 32nd Chinese Control Conference, 2013Co-Authors: Xiaohong Wang, Qingjin MengAbstract:In order to overcome the control difficulties of Nickel-iron rotary kiln, such as nonlinear, time-varying, strong coupling and large time delay, we design an intelligent control system, which includes rotary kiln conditions recognition module, composite controllers, ratio module and operating conditions compensation module. The mathematical model of kiln tail temperature, oxygen content and Burning Zone temperature is obtained through the Matlab System Identification Toolbox. The rationality and practicability of the automatic control program is verified by dynamic simulation.
Shizeng Lu - One of the best experts on this subject based on the ideXlab platform.
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Single-step prediction method of Burning Zone temperature based on real-time wavelet filtering and KELM
Engineering Applications of Artificial Intelligence, 2018Co-Authors: Shizeng Lu, Huijun Dong, Hongliang Yu, Xiaohong WangAbstract:Abstract The single-step prediction of Burning Zone temperature plays an important role in the safety and stability control of cement rotary kiln. This is because, the abnormal temperature events can be found as early as possible and the operator can take effective emergency measures in time. In this paper, the Burning Zone temperature single-step prediction method based on real-time wavelet filtering and kernel extreme learning machine is studied. Firstly, the visual inspection device is used to detect the Burning Zone temperature. And then, the amplitude limited filtering method is used to weaken the effects of temperature anomalies. On this basis, the real-time filtering of the Burning Zone temperature is realized by combining the sliding time window and wavelet filtering method. After that, the single-step prediction of Burning Zone temperature is realized by combining the sliding time window and kernel extreme learning machine method. At last, the Burning Zone temperature prediction method is validated. The minimum root mean squared error of the 5 consecutive days is 0 . 4259 ° C . The single average running time of model training and prediction of kernel extreme learning machine is much less than support vector regression, which is very helpful for the online prediction of Burning Zone temperature. The result shows that the Burning Zone temperature single-step prediction method proposed in this paper is feasible and effective.
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trend extraction and identification method of cement Burning Zone flame temperature based on emd and least square
Measurement, 2017Co-Authors: Shizeng Lu, Huijun Dong, Hongliang Yu, Xiaohong Wang, Zhongqiang YangAbstract:Abstract The trend analysis of the temperature change of Burning Zone is very important for the normal production of cement clinker. In this paper, empirical mode decomposition (EMD) combined with the least square method is researched to realize the trend extraction and identification of cement Burning Zone flame temperature. Firstly, the temperature data is decomposed by EMD to obtain every intrinsic mode function (IMF) and the remainder. Then, the least square method is used to fit every IMF and the remainder. With the fitting error as the judgment criterion, the trend of the signal is extracted as the combination of the IMF components with less fitting error and the remainder. Further, the first derivative of the fitting function is used to determine the fundamental change in the trend of the signal, and the trend identification result is obtained. At last, the trend extraction and identification method is validated on the Burning Zone temperature data obtained from a cement company. The results show that the trend extraction and identification of the Burning Zone temperature based on EMD and least square is effective. More importantly, the method proposed in this paper can automatically determine the number of EMD decomposition layers. It does not have the problem of artificial selection of basis function and decomposition layers, and does not require empirical knowledge and complex experimental procedures for extracting trend item of Burning Zone temperature. This paper provides a feasible method for the extraction and identification of the Burning Zone temperature.
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A Temperature Filtering Algorithm for Cement Burning Belt Based on Local Weighted Regression
2017 4th International Conference on Information Science and Control Engineering (ICISCE), 2017Co-Authors: Rongfeng Zhang, Qingjin Meng, Shizeng LuAbstract:For the problem that Burning Zone temperature fluctuation of cement rotary kiln is large and the stability control is difficult to implement, a temperature filtering algorithm for cement Burning belt based on local weighted regression is proposed in this paper to smooth the filtering of the Burning Zone temperature signal in the rotary kiln so that the temperature of the Burning Zone can be better applied to the control of the rotary kiln firing system. First, Burning Zone temperature can be obtained by visual inspection in a cement enterprise and is processed by using LOWESS. Different window widths are selected, then the temperature data is smoothly processed under the different window widths. By comparing and analyzing the impact of different window widths on the temperature smoothing degree of the Burning Zone, the appropriate window width is determined. Finally, the result is compared with the traditional moving average filter and the comparison result shows the proposed method has better data smoothing ability, and the smooth Burning Zone temperature can be better applied to the cement rotary kiln firing system.
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Single-step prediction method of Burning Zone temperature based on LSSVM
2017 Chinese Automation Congress (CAC), 2017Co-Authors: Shizeng Lu, Hongliang Yu, Xiaohong Wang, Rongfeng ZhangAbstract:The single-step prediction of Burning Zone temperature plays an important role in the safety and stability control of cement rotary kiln. In this paper, the Burning Zone temperature prediction method based on least squares support vector machine is studied. First, the visual inspection device is used to detect the Burning Zone temperature. And then, the moving average filtering process is performed to obtain a relatively smooth temperature data. On the basis of this, the temperature prediction model based on least squares support vector machine is constructed by taking the current value of the Burning Zone temperature and the previous time value as the input and the next time value as the output. At last, the Burning Zone temperature prediction method is validated. The result shows that this paper provides a feasible method for the single-step prediction of Burning Zone temperature.
Wei Zhou - One of the best experts on this subject based on the ideXlab platform.
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composition and microstructure of a periclase composite spinel brick used in the Burning Zone of a cement rotary kiln
Ceramics International, 2014Co-Authors: Nan Li, Wei Zhou, Yuanyuan LiAbstract:Abstract The composition and microstructure of a periclase–composite spinel brick used in the Burning Zone of a cement rotary kiln were investigated and compared to the original brick. The results indicate that cement clinker and alkali salts are two important agents that cause corrosion especially of the bonding phase of refractories in cement rotary kilns. When the molar ratio of alkalis to anions ((Na+K)/(Cl+2S)) is more than one, alkali salts accumulated in the pores, cracks and grain boundaries of the refractory but the severe corrosion of the bonding phase of the refractory did not occur in Zones with lower temperatures. The interaction between the cement clinker and the refractory formed a liquid, which, together with alkali salts, improved sintering. The reaction between the cement clinker and the refractory formed a dense reaction layer. Cracks formed in the dense layer and extended through the boundary between the reaction and non-reaction (penetrated) layers by mechanical and thermal stress, which caused the spalling of the reaction and coating layer from the refractory. The recurrence of this process during service leads to degradation of the refractory.
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Composition and microstructure of a periclase–composite spinel brick used in the Burning Zone of a cement rotary kiln
Ceramics International, 2014Co-Authors: Guangping Liu, Wei Zhou, Wen Yan, Changhe Gao, Li YuanyuanAbstract:Abstract The composition and microstructure of a periclase–composite spinel brick used in the Burning Zone of a cement rotary kiln were investigated and compared to the original brick. The results indicate that cement clinker and alkali salts are two important agents that cause corrosion especially of the bonding phase of refractories in cement rotary kilns. When the molar ratio of alkalis to anions ((Na+K)/(Cl+2S)) is more than one, alkali salts accumulated in the pores, cracks and grain boundaries of the refractory but the severe corrosion of the bonding phase of the refractory did not occur in Zones with lower temperatures. The interaction between the cement clinker and the refractory formed a liquid, which, together with alkali salts, improved sintering. The reaction between the cement clinker and the refractory formed a dense reaction layer. Cracks formed in the dense layer and extended through the boundary between the reaction and non-reaction (penetrated) layers by mechanical and thermal stress, which caused the spalling of the reaction and coating layer from the refractory. The recurrence of this process during service leads to degradation of the refractory.
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A Study of the Test Method of Coating Adherence of Refractories Used in Cement Kilns
Key Engineering Materials, 2013Co-Authors: Jia Lin Sun, Wei Zhou, Shu Long, Zhi Feng Wang, Wen Bin XiaAbstract:A layer of uniform and stable coating with a suitable thickness is needed for the hot side of refractories used in the Burning Zones of cement rotary kilns. The coating can protect the refractories and prolong its service life. Therefore, it is essential for the refractories used in the Burning Zone to form coating. In this paper, the mechanism of coating behaviour was analyzed, and the simulation of coating formation was implemented in laboratory as well, the related parameters are determined. Based on the determination of the bonding strength between the coating and the refractories, a test method of measuring coating behaviour is achieved finally.
Li Yuanyuan - One of the best experts on this subject based on the ideXlab platform.
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Composition and microstructure of a periclase–composite spinel brick used in the Burning Zone of a cement rotary kiln
Ceramics International, 2014Co-Authors: Guangping Liu, Wei Zhou, Wen Yan, Changhe Gao, Li YuanyuanAbstract:Abstract The composition and microstructure of a periclase–composite spinel brick used in the Burning Zone of a cement rotary kiln were investigated and compared to the original brick. The results indicate that cement clinker and alkali salts are two important agents that cause corrosion especially of the bonding phase of refractories in cement rotary kilns. When the molar ratio of alkalis to anions ((Na+K)/(Cl+2S)) is more than one, alkali salts accumulated in the pores, cracks and grain boundaries of the refractory but the severe corrosion of the bonding phase of the refractory did not occur in Zones with lower temperatures. The interaction between the cement clinker and the refractory formed a liquid, which, together with alkali salts, improved sintering. The reaction between the cement clinker and the refractory formed a dense reaction layer. Cracks formed in the dense layer and extended through the boundary between the reaction and non-reaction (penetrated) layers by mechanical and thermal stress, which caused the spalling of the reaction and coating layer from the refractory. The recurrence of this process during service leads to degradation of the refractory.
