Applied Mechanics and Materials Vol. 340

Abstract: The use of Hilbert-Huang transform (Hilbert-Huang transform, HHT) on crack AE signal study, through empirical mode decomposition (empirical mode decomposition, EMD) AE signal is decompose into a number of intrinsic mode functions (Intrinsic mode Function, IMF), Hilbert spectrum and Hilbert marginal spectrum are calculated. The results show that crack depth structure bearing of acoustic emission are detected accurately by the number of acoustic emission events, time and crack the degree from Hilbert spectrum and Hilbert marginal spectrum.

Abstract: In order to solve the high-voltage grid electricity coal mine one-phase ground fault (high leak), choose the theory of fuzzy algorithm. According to the current harmonic fault diagnostic, zero sequence active power method and transient zero sequence current mutual product summation method, three methods set fault measure membership function and weight coefficient membership function, realize fuzzy comprehensive decision, judge single-phase grounding line. Through the Matlab/Simulink simulation experiment, fuzzy theory algorithm can accurately choose single-phase grounding line.

Abstract: As the P2P technology brings an abundance of network shared resources and information services, P2P technology also brings a lot of bandwidth, intellectual property, information security problems. Against the problems, and studying technologies of P2P traffic flow monitoring, the paper presents an improved P2P traffic monitoring method based on advantages and disadvantages of current P2P flow monitoring methods. According to the test results, the system achieved well in the demand of control P2P traffic.

Abstract: The chaotic time series phase space reconstruction theory based in this paper. First, the appropriate embedding dimension and delay time are selected by minimum entropy rate. Followed the chaotic behavior are analyzed by the use of the Poincare section map and Power spectrum of time series from the qualitative point of view. Based on NLSR LLE the quantitative study of the chaotic time series characteristics indicators is proposed. Finally, the gas emission workface of Hebi 10th Mine Coal is studied. The several analytical results of the above methods show that: the gas emission time-series data of this workface has chaotic characteristics.

Abstract: This text has introduced a set of automatic test systems that designs for and a kind of embedded digital control system ' and demand to design a kind of indicative test to system testing It describe rules by language (this system from computer as controlling core ,interactive user interfaces good ,realized in protecting the real-time test of high speed under the mode.

Abstract: A new harmonic detection algorithm is proposed in this paper. According to characteristics of the electric power harmonic, identified harmonic model is obtained based on Fourier series, and introduced a bounded disturbance in the model. When the parameter in the model is identified, firstly the interference value is estimated by the output error, and then the identification error is estimated and used it to update parameters of the model. By using the interference estimation and identification error estimation, the parameters convergence speed is accelerated and the identification accuracy is improved, numerical examples simulation verify this.

Abstract: To improve upon the Low-Density Parity-Check (LDPC) codes , incorporating compressed sensing (CS) and information redundancy, a new joint decoding algorithm frame is presented. The proposed system exploits the information redundancy by CS reconstruction during the iterative decoding process to correct decoding of LDPC codes. The simulation results show that the algorithm presented can improve system decoding performance and obviously make bit error ratio (BER) lower then traditional LDPC codes. In addition, a relatively short argument is given on different CS reconstructed algorithms in proposed system, the new design is shown to benefit from different CS reconstructed algorithms.

Abstract: This paper proposed on-line detect method of eliminating the influence of sample order and adapting adjustment parameters, according to BP network was slow convergence and computationally intensive. Improving the speed and efficiency of training, the recognition process was more reliable and recognition results were more accurate. The experiment showed that improved BP network could meet the requirements of online testing, and recognition rate reached more than 91%.

Abstract: Based on the hyper spectral data provided by small satellites for environmental hazard monitoring and forecasting (HJ-A), we convert the data format and reflectance to remove possible interference. Spectral angle mapping method is employed afterwards for mineral mapping of the study area. The small-scaled mineral distribution map is then generated for the whole study area. Our study suggests that mineral mapping using HJ-A satellite hyper spectral data is fairly effective in terms of mapping quality and cost.

Abstract: With the rapid development of science technology, to realize digital monitoring in the complex working conditions, the use of artificial intelligence machine to quickly achieve control operations. However, in the artificial intelligence system process, there may be a programmable datas inaccuracy and non real time, thereby to bring the certain error of control system that affects people's judgment. In programming data acquisition processing system, to introduce CBR diagnosis technique application, existing programming data acquisition processing system carries on fault coupling analysis. Through the data programming module transform for real-time diagnosis module, using artificial intelligence carries on automatic diagnosis for programming data, thus effectively solving the deviation in programming data acquisition process.