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1. Damage Creep Analysis and Instability Delay Time of Ultrahigh pillar considering Initial Transverse Deformation | |||
FU Jianxin,SONG Weidong | |||
Mine Engineering and Technology 12 June 2016 | |||
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Abstract:According to the ultrahigh pillar structure and mechanical characteristics, considering the initial geometric deviation caused by mining disturbance, the simplified model of the pressure bar is established. Based on elastic-plastic theory, the deflection and internal forces of ultrahigh pillar with initial geometric imperfections are analyzed and discussed. And based on the Kachanov theory of damage, the damage of ultrahigh pillar is analyzed, the damage failure time is calculated. The results show that under the influence of the initial deflection, pillar will appear different degree of additional deflection, which grows with the increase of initial deflection and pressure ratio. Analysis of engineering examples show that the start time of damage and instability of delay time of pillar has close relationship with initial deflection, pressure ratio and compressive strength. With the increase of pressure ratio and initial deflection, the damage incubation time and the instability of delay time quickly become small, the greater the compressive strength, the greater the instability of the delay time, which means that the pillar is more stable. The results of this study provide a theoretical basis for stability analysis and control of ultrahigh pillar. | |||
TO cite this article:FU Jianxin,SONG Weidong. Damage Creep Analysis and Instability Delay Time of Ultrahigh pillar considering Initial Transverse Deformation[OL].[12 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4696985 |
2. Research on Real-time Forecasting and Evaluation of Tailings Reservoir Based on Multi-Sensor Data Fusion | |||
YANG Yuting,CHEN Xiaofang,GUI Weihua,WANG Gangyi | |||
Mine Engineering and Technology 28 February 2013 | |||
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Abstract:The stability and safety of the tailings reservoir plays an important role in the mining production and environmental protection, so the safety evaluation and real-time forecasting are very essential. Comprehensive evaluation and decision-making of tailings reservoir is a non-linear system, thus, an overall framework of multi-sensor data fusion was firstly designed in this paper. Secondly, a set of structured features can be obtained. Then the safety assessment model of tailings reservoir was established based on the structured featured-set described above. Furthermore, the whole system was given through the data flow diagram of the functional module. Finally, based on practice of the projects of tailings reservoir, the evaluation results are analyzed to explore the security risks in the tailings reservoir. In order to improve the accuracy of the data with tailings reservoir on-line monitoring system and the disaster forecast level, after verification and simulation, a theoretical basis can be provided for further rectification and reform.????? | |||
TO cite this article:YANG Yuting,CHEN Xiaofang,GUI Weihua, et al. Research on Real-time Forecasting and Evaluation of Tailings Reservoir Based on Multi-Sensor Data Fusion[OL].[28 February 2013] http://en.paper.edu.cn/en_releasepaper/content/4524653 |
3. Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope | |||
Zhan Weixia,Tan Jiwen,Wen Yan | |||
Mine Engineering and Technology 11 January 2012 | |||
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Abstract:In order to suppress the noise in the magnetic flux leakage, the algorithm considering signal correlation, in which an optimal predictor and an optimal updater were chosen for every sample at all scales according to the magnitude of the correlation coefficient, was proposed. So the wavelets obtained through designing predictor and updater can perfectly fit the local features of signal. The actually processing effect of the simulation and the magnetic flux leakage signal of damage in wire rope show that the proposed method, compared with the classical wavelet, can effectively remove noise in original signal and principally retain the local features of the original signal. | |||
TO cite this article:Zhan Weixia,Tan Jiwen,Wen Yan. Algorithm Considering Signal Correlation for Denoising of the Magnetic Flux Leakage of Wire Rope[OL].[11 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4461349 |
4. Denoising Algorithm Based on Correlation of Inter Scales Wavelet Coefficient for Damage Signal of Wire Rope | |||
Zhan Weixia,Tan Jiwen,Wen Yan | |||
Mine Engineering and Technology 06 January 2012 | |||
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Abstract:In order to remove noise in the broken wire signal of wire rope, a new denoising algorithm based on the correlation of inter scales wavelet coefficient was proposed. Because the wavelet coefficient of signal has strong correlation and the wavelet coefficient of noise does not has obvious correlation, in the process of calculating threshold, an inter scales correlation factor was constructed considering the part speciality of next scale on the same position after wavelet transform. The proposed factor can adaptively adjust threshold on the position of signal and noise, thereby otaining good denoising effect and holding the break information in original signal. The actual processing effect of simulation and damage signal of wire rope shows that the proposed method, compared with the classical threshold, not only effectively removes noise in original signal and improve the signal noise ratio(SNR),but also retains the break information of inspected damage signal of wire rope. | |||
TO cite this article:Zhan Weixia,Tan Jiwen,Wen Yan. Denoising Algorithm Based on Correlation of Inter Scales Wavelet Coefficient for Damage Signal of Wire Rope[OL].[ 6 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4460128 |
5. A method for the prediction of gas emission based on SVM | |||
Xue Fuzhen,Liu Peng | |||
Mine Engineering and Technology 27 December 2010 | |||
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Abstract:In order to improve the accuracy of prediction of gas emission, a novel nonlinear combined prediction method using support vector machines (SVM) was introduced. SVM, which was based on the rule of structural error minimization, was adopted to build a multi-input and single-output nonlinear prediction model. The model parameters were tuned by training samples sets and evaluated by the principle of the minimum standard deviation. Three original predictive values (hyperbola regression prediction,exponential regression prediction and grey prediction) were combined to get the prediction results in this model. The experimental results showed that this model was far more superior to other prediction models. | |||
TO cite this article:Xue Fuzhen,Liu Peng. A method for the prediction of gas emission based on SVM[OL].[27 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4400472 |
6. Study on the Height of Transmissive Fractured Zone Based on the ANFIS | |||
WANG Yun-gang,Wang Enyuan,Ding Dexin,Liu Zhentang | |||
Mine Engineering and Technology 05 April 2007 | |||
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Abstract:Adaptive Neuro-Fuzzy Inference System has the merits of high speed of convergence, potentially better generalization capability, high accuracy of prediction and definiteness of the training results, and it has been applied to inverse design of slopes and surface displacement due to coal extraction. In the paper, ANFIS-based approach for the forecast of the height of transmissive fractured belt are applied to the extraction the No.Ⅲ ore body at Kangjiawan Zinc-Lead Mine successfully, some important conclusions are of great significance to the factual issues. All the experiences may be of greatly beneficial reference for the similar projects since then. | |||
TO cite this article:WANG Yun-gang,Wang Enyuan,Ding Dexin, et al. Study on the Height of Transmissive Fractured Zone Based on the ANFIS[OL].[ 5 April 2007] http://en.paper.edu.cn/en_releasepaper/content/11998 |
7. Research on the detection of the working face water disaster with parallel Bipole-Dipole method in coalmine | |||
Wen Li,Jiulong Cheng | |||
Mine Engineering and Technology 04 January 2007 | |||
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Abstract:The inner hidden water-bearing bodies are the causes of the water disaster in the working face of coalmine. In order to detect the inner water-bearing bodies under the floor of working face, a new DC detecting method, that is, the parallel Bipole-Dipole method was introduced; and in the data interpretation method, this paper provided the Resistivity Computerized Tomography Method to inverse the position of the (simulated) water-bearing bodies. The modeling test in water tank and trial on spot both indicated that it is feasible and valid with the Bipole-Dipole method in detecting the inner water disaster of the working face, and it would be a promising future as its obvious virtue of amplified observation signals and adaptive range. | |||
TO cite this article:Wen Li,Jiulong Cheng. Research on the detection of the working face water disaster with parallel Bipole-Dipole method in coalmine[OL].[ 4 January 2007] http://en.paper.edu.cn/en_releasepaper/content/10571 |
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