Instability Identification of Goaf Risky in Mines Based on Distance Discriminant Analysis Method

2011 ◽  
Vol 255-260 ◽  
pp. 3740-3743
Author(s):  
Xiao Ming Yan ◽  
Xiang Yun Chen ◽  
Feng Qiang Gong
Keyword(s):  
Discriminant Analysis ◽  
Body Volume ◽  
Analysis Method ◽  
Analysis Model ◽  
Metal Mine ◽  
Ore Body ◽  
Rock Quality ◽  
Training Samples ◽  
Distance Discriminant Analysis ◽  
The Stability

The instability identification of goaf risky is an important work in the mine engineering. Based on distance discriminant analysis, a method to identify the instability of goaf risky in mines was presented in this paper. Nine factors influencing the stability of goaf risky, including uniaxial compressive strength of rock, elastic modulus of rock, rock quality designation (RQD), area ration of pillar, ratio of width to height of pillar, depth of ore body, volume of goaf, dip of ore body and area of goaf, were selected as discriminant indexes in the stability analysis of goaf. The actual data of 40 goafs were used as training samples to establish a discriminant analysis model to identify the stability of goaf. The results show that this discriminant analysis model has high precision and misdiscriminant ratio is 0.025 in re-substitution process. The instability identification of a metal mine was discriminanted by using this model and the identification result is identical with that of practical situation.

scholarly journals Evaluation on the Stability of Vertical Mine Shafts below Thick Loose Strata Based on the Comprehensive Weight Method and a Fuzzy Matter-Element Analysis Model

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Wenquan Zhang ◽  
Zaiyong Wang ◽  
Jianli Shao ◽  
Xianxiang Zhu ◽  
Wei Li ◽  
...  
Keyword(s):  
Comprehensive Analysis ◽  
Structure Parameters ◽  
Analysis Method ◽  
Analysis Model ◽  
Element Analysis ◽  
Good Reliability ◽  
Matter Element Analysis ◽  
Weight Method ◽  
The Stability ◽  
Seam Mining

Damage to mine shafts located below thick loose aquifers, caused by coal seam mining, can seriously affect the operational safety of mines. In view of such a problem, the comprehensive weight method and the fuzzy matter-element analysis method were used to analyze and evaluate the stability of mine shafts below thick, loose aquifers. Based on data relating to shaft structure parameters collected from fifteen damaged shafts in coal mines in East China, a comprehensive analysis was performed. The results showed that (1) the two indexes of surface subsidence velocity and water level drop value at the bottom of a loose aquifer have a large influence on the stability of shafts below thick loose aquifers, and (2) the predicted results of thirteen sets of samples were the same as the results measured during actual production; the accuracy of the model was 86.67%. The comprehensive weight method and the fuzzy matter-element analysis model both show good reliability for evaluating the stability of mine shafts below thick loose aquifers and can provide a scientific reference for the analysis of the stability of mine shafts in areas with thick loose strata, as well as for the design of comprehensive control plans that could subsequently be implemented.

Stability Bearing Capacity of Dendritic Arms in Tainter Gate

2015 ◽  
Vol 733 ◽  
pp. 464-467
Author(s):  
Yong Kang Shen ◽  
Zheng Zhong Wang ◽  
Chun Long Zhao
Keyword(s):  
Stability Analysis ◽  
Bearing Capacity ◽  
Effective Length ◽  
Analysis Method ◽  
Analysis Model ◽  
Minimum Potential Energy ◽  
Stability Bearing Capacity ◽  
Minimum Potential ◽  
The Stability ◽  
Radial Gate

The new arms form of radial gate—dendritic arms is introduced for the proper mechanical mechanism, however the stability design is very difficult. According to the stability theory of structure, the stability analysis model of step column with lateral restraints was proposed for dendritic arms, some equations was derived from the principle of minimum potential energy, the practical formulas of buckling bearing capacity and effective length coefficient were provided. According to an example, the accuracy on formulas was verified by finite analysis method.

DFT-Based on Mahalanobis Distance Discriminant Analysis Method Channel Estimation Algorithm for OFDM Systems

2011 ◽  
Vol 55-57 ◽  
pp. 472-477 ◽  
Author(s):  
Tong Liang Fan ◽  
Min Jun Deng ◽  
Hong Cheng Huang
Keyword(s):  
Discriminant Analysis ◽  
Channel Estimation ◽  
Mahalanobis Distance ◽  
Estimation Algorithm ◽  
Delay Spread ◽  
Ofdm Systems ◽  
Analysis Method ◽  
Impulse Responses ◽  
Channel Information ◽  
Distance Discriminant Analysis

An enhanced discrete Fourier transform DFT-based channel estimation for OFDM systems is proposed. Conventional DFT-based channel estimations improve the performance by suppressing time domain noise. However, they potentially require information on channel impulse responses and may also result in mean-square error (MSE) floor due to incorrect channel information such as channel delay spread. In order to overcome the disadvantage, our proposed channel estimation can improve the performance by deciding significant channel taps adaptively. Significant channel taps are detected on the basis of Mahalanobis distance discriminant analysis. Simulation results demonstrate that the proposed algorithm outperforms the conventional DFT-based estimation in terms of BER and MSE performance.

A New Reliability Analysis Mehthod of Karst Roof Under Pile Tip

2011 ◽  
Vol 90-93 ◽  
pp. 133-136
Author(s):  
Chong Jiang ◽  
Xi Bing Li ◽  
Ke Ping Zhou ◽  
Shan Wei Wang
Keyword(s):  
Reliability Analysis ◽  
Limit Equilibrium ◽  
Case Analysis ◽  
Equilibrium Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Interval Numbers ◽  
Limit Equilibrium Analysis ◽  
Performance Function ◽  
The Stability

There is uncertainty during analysis the stability of karst roof under pile tip. The interval numbers are used to express the calculation parameters. Secondly, the limit equilibrium analysis model of karst roof under pile tip is presented based on the present study. Thirdly, the performance function is suggested to evaluate the reliability of the stability of karst roof under pile tip. The non-probabilistic reliability analysis method for stability of karst roof under pile tip is finally founded. This method is proved to be rational and feasible by engineering case analysis.

scholarly journals Prediction Model of Collapse Risk Based on Information Entropy and Distance Discriminant Analysis Method

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Hujun He ◽  
Le An ◽  
Wei Liu ◽  
Jian Zhang
Keyword(s):  
Discriminant Analysis ◽  
Prediction Model ◽  
Information Entropy ◽  
False Positive Rate ◽  
Estimation Method ◽  
Classification Model ◽  
Entropy Measure ◽  
Analysis Model ◽  
Mountainous Regions ◽  
Distance Discriminant Analysis

The prediction and risk classification of collapse is an important issue in the process of highway construction in mountainous regions. Based on the principles of information entropy and Mahalanobis distance discriminant analysis, we have produced a collapse hazard prediction model. We used the entropy measure method to reduce the influence indexes of the collapse activity and extracted the nine main indexes affecting collapse activity as the discriminant factors of the distance discriminant analysis model (i.e., slope shape, aspect, gradient, and height, along with exposure of the structural face, stratum lithology, relationship between weakness face and free face, vegetation cover rate, and degree of rock weathering). We employ postearthquake collapse data in relation to construction of the Yingxiu-Wolong highway, Hanchuan County, China, as training samples for analysis. The results were analyzed using the back substitution estimation method, showing high accuracy and no errors, and were the same as the prediction result of uncertainty measure. Results show that the classification model based on information entropy and distance discriminant analysis achieves the purpose of index optimization and has excellent performance, high prediction accuracy, and a zero false-positive rate. The model can be used as a tool for future evaluation of collapse risk.

Fisher Discriminant Analysis Model of Drilling Downhole Accidents and its Application

2011 ◽  
Vol 291-294 ◽  
pp. 3241-3244 ◽  
Author(s):  
Jing Cheng Liu ◽  
Hong Tu Wang ◽  
Wen Hua Li ◽  
Chun Bi Xu
Keyword(s):  
Discriminant Analysis ◽  
Accurate Method ◽  
Analysis Model ◽  
Fisher Discriminant Analysis ◽  
Running Speed ◽  
Fisher Discriminant ◽  
Training Samples ◽  
Practical Engineering ◽  
Pump Pressure ◽  
Mode A

Based on Fisher discriminant theory, the Fisher discriminant analysis model (FDA) was established for predicting the possibility of drilling downhole accidents. Six factors such as WOB、pump pressure、pump flow、running speed、ROPand torque were selected as the discriminant factors of the FDA mode. A series of data from drilling downhole accidents were taken as the training samples, and then some practical engineering datas were used to verify this mode. It was showed that FDA model is one of simple and accurate method in solving the prediction of drilling downhole accidents.

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