Advanced Materials Research Vols. 605-607

Abstract: Taken a certain type of crossbeam of automatic hydraulic tile press as research object, discussed its comprehensive fatigue life by using damnification-limit design method and Finite element. It provided some theory basis and reference for automatic hydraulic tile press’s safe operation and fatigue lift design.

Abstract: This paper proposes a method for using neural network and weighted fuzzy Petri net to diagnose fault. Aiming at the traditional Petri net can not precisely predict the complex relation of the default phenomenon and the cause, neural network, fuzzy logic and the traditional Petri net are combined, and a constructing method for adaptive weighted fuzzy Petri net model is proposed. Based on this, an improved BP algorism is introduced to train the weight of the model, and the specific process for using the model to diagnose the fault is given. Finally, the model was applied to the instance of FMS, and the model was proved to have the advantages of Petri net and neural network and have reasoning and adaptive ability.

Abstract: In recent years, China's coal industry, a gas explosion frequently on people's lives and property caused a great threat, in order to reduce this from happening, our large, medium and small coal mines with high gas or gas outburst after another mine monitoring and control system in the equipment, particularly equipment wireless monitoring system has greatly enhanced the level of mine safety and production safety management efficiency. In this paper, computer technology allows for wireless monitoring system for a more detailed analysis of the description.

Abstract: The precondition for leakage protection is to identify insulations parameters exactly and quickly in coal mine distribution networks. A novel identification method of insulation parameters is presented. Time domain differential mathematic model of man-made leakage test is built, and then the least squares method is used to solve model coefficient, ground insulation resistances and ground capacitance are obtained correctly. This insulation identification method can not only calculate the total ground insulation resistance and the total ground capacitance but also provide the insulation parameters of each branch in detail. The results of simulation for a 660V coal mine distribution network indicate that this identification method is accurate and effective and can identify each insulation parameters rapidly in 15ms after adding a resistor to one phase of line.

Abstract: SW-GP (Sliding Window-Genetic Programming) algorithm is provided to implement dynamic forecast of monitoring data in order to more effectively utilize coal mine monitoring data to alert and forecast safety accident. In the program, sampling data is obtained by sliding window technology and model is founded automatically by GP algorithm. The result of instance shows that forecasting values from the model well agree with the real values, which explains that employing SW-GP modeling can settle problem for alert and forecast for mine safety monitoring data satisfactorily.

Abstract: A field calibration method based on virtual 1D target is proposed for the extrinsic parameters of binocular vision. A target is placed on high precision 1D lifting platform to create virtual 1D target through motions of lifting platform. Two cameras are used to obtain virtual target images of different positions and preliminarily achieve extrinsic parameter calibration of binocular vision based on epipolar constraint equation. Finally, the length of virtual 1-D target is used to optimize the extrinsic parameters. This method is featured with easy operation, flexible application and field calibration. The experimental results verify the feasibility of this calibration method and show it can yield high field calibration precision.

Abstract: Freshwater fish has high nutritional value, in purpose of precisely detecting the freshness of freshwater fish meat, the system of identifying freshwater fish meat with different freshness which was based on multi-sensors fusion was designed. The system contained of two parts which were hardware and software, the hardware mainly included gas acquisition module, PH value acquisition module and conductivity acquisition module, and the software mainly included labVIEW and matLAB. The system which was designed was used for identifying freshwater fish meat samples with the BP artificial neural network method, and the results show that the recognition performance of designed system is very well.

Abstract: A low frequency and high-precision microbarograph monitoring system is developed based on the Michelson interference of unequal-arm type, a method of signal modulation and compensation is presented, it improves the system’s anti-jamming capability and measurement accuracy. Experiments show that the monitoring system has a high accuracy and a wide dynamic range, especially for monitoring low-frequency signal.

Abstract: Nowadays, condition monitoring and intelligent fault diagnosis methods research of the needling loom in our country is still a blank. How to establish appropriate monitoring methods under different working conditions becomes an important issue. In this article, some methods in terms of the open system construction proposed to work out the problems above. This open system take full advantage of the rapid development of hardware and software technology, and its remote update function enrich remote monitoring methods, providing online or offline information to remote monitoring terminals for different processing conditions, integrated with realizing the needle loom field condition monitoring and physical state online detections.

Abstract: The contents of inorganic elements such as Al, As, Ba, Ca, Cd, Co, Cr, Cu, Fe, Li, K, Mg, Mn, Mo, Na, P, Pb, Zn, Se and Sr in egg of Poyang Lake anas platyrhynchos were determined by using inductively coupled plasma-atomic emission spectrometry (ICP-AES). The recoveries obtained by the standard addition method ranged between 84.4%-113.7%, and RSDs were lower than 8.02%. The measuring method provided better accuracy and precision. The determination results showed that the egg of Poyang lake anas platyrhynchos was rich in essential inorganic elements, and the contents of most of the inorganic elements in yolk were higher than protein. The contents of Cu, Fe, Mn and Zn in edible part of anas platyrhynchos egg were higher than Sheldrake, while the contents of Ca, P and Mg were less than Sheldrake. The contents of Ca, P, and Mg in anas platyrhynchos eggshell were less than Sheldrake