Applied Mechanics and Materials Vols. 543-547

Abstract: In this paper, the contents of these elements including Cu, Fe, Mn, Zn, Al, Cd, Pb, Ti and As were determined by ICP-AES technique, which elements originated from B. involucrate from different places. Detection limits ranged 0.0029 ug/ml^-1 and 0.079 ug/ml^-1, the relative standard deviations for all these elements were lower than 2%, and recovery rates ranged 94.8% and 105.8%. The results showed that there were rich elements in B. involucrate from different places; contents of Fe and Al were highest; contents of Mn, Zn, Cu and Ti were moderately high, and contents of As, Cd and Pb were lowest. Futhermore, Cu, Fe, Mn, Zn were essential to peoples health, and Al, Cd, As, Pb and Ti had potentially physiologically toxic. Finally, concentrations of elements within B. involucrate from different places were different, which may have some relations with the environment where B.involucrate grew. As a result, the determining method which elements of B. involucrate. are determined by ICP-AES is rapid, accurate and convenient, and wild B. involucrate may contain toxic elements because of pollutional soil and environment, so B.involucrate cultivated artificially can effectively reduce harmful elements.

Abstract: In this paper, the contents of these elements including Cu, Fe, Mn, Zn, Al, Cd, Pb, Ti and As were determined by ICP-AES technique, which elements originated from E. rugulosa from different places. Detection limits ranged 0.0029 ug/ml-1 and 0.079 ug/ml-1, the relative standard deviations for all these elements were lower than 2%, and recovery rates ranged 93% and 105.8%. The results showed that there were rich elements in E. rugulosa from different places; contents of Fe and Al were highest; contents of Mn, Zn and Ti were moderately high; and contents of Cu, As, Cd and Pb were lowest. Finally, concentrations of elements within E. rugulosa from different places were different, which may have some relations with the environment where it grew. As a result, the determining method which elements of E. Rugulosa are determined by ICP-AES is rapid, accurate and convenient.

Abstract: In order to solve the problem of data collision in the electronic countermeasures simulation scenario edition, a scenario data collision detecting algorithm based on productive inferring, whats more, a scenario data collision detection system for electronic countermeasures simulation is designed and actualized. This system can be integrated into electronic countermeasures simulation system regarded as a component, to check the scenario data and ensure the datas rationality.

Abstract: Belt conveyor gearbox is one of key equipments in coal mine which makes sure that the coal mine runs continuously and smoothly. Once it has faults, it will greatly influence the production and the benefits of coalmine. What is more, the raw coal cut by shearer could not be transported to the ground and serious accidents may occur. The authors carry out the vibration monitoring trials on belt conveyor gearbox in an underground coal mine using self-developed mining portable vibration recorder and obtain amount of on-site vibration signal. After analyzing the variation trend of the time domain indexes and power spectrum, we find that the gear of the input shaft of the reducer has severe wear and broken gears. Overhaul results verifies the correctness of the above analysis and the validity of the data sampled by the recorder.

Abstract: To solve the difficulties of establishing precise mathematical model of ball bearing fault diagnosis, a classification method based on probabilistic neural network (PNN) used for ball bearing fault mode classification is proposed. Firstly, this paper analyzed the basic theory of PNN, and then a mapping relationship between feature vector and fault mode is set up based on PNN. Secondly, selections of ball bearing fault features and practical procedure of neural network setting and training are discussed. Experiments and compared with the algorithm of back propagation neural network (BPNN) prove that PNN method is feasible and has better diagnosis efficiency than BPNN.

Abstract: Contamination Monitoring is an important means of preventing pollution flashover of electrical equipment, the monitoring data can make the insulator design more economical, leading to a both win in economic and operational safety. The existing monitoring tools are based mainly on ESDD, the measurement data is affected by many factors, limited guidance. This paper will analyze several of factors which have impact on ESDD, and also propose additional measures and many forward-looking recommendations to face the reality, so that we can carry out anti-pollution work better.

Abstract: Under the actions of dissolved oxygen, temperature, electric field, electric arc, moisture, impurities and metal catalysts, transformer oil in operation will undergo oxidation and cracking, which may result in production of large quantities of peroxides, alcohols, aldehydes, ketones and acids. To improve the oxidation stability of oil, the antioxidants should be added into the transformer oil before operation. This paper mainly introduced the oxidation process of transformer oil, the harm of transformer oil oxidation and the method for the determination of the T501 antioxidants content in transformer oil. It also forecast the development trend of the electrochemical test in the determination of T501 antioxidants content.

Abstract: In this paper, a novel method which can identify error parameters of accelerometer accurately in the absence of high precision test turntable occasions is provided. The novel method makes use of artificial fish swarm algorithm (AFSA), permits to obtain an accurate identification by taking the acceleration norm as observation, and the standard variance of norm error as optimization index. The identification test is carried out on the platform of fiber optic gyro (FOG) strapdown inertial navigation system (SINS), and the 24-hours static navigation test is also executed. The validity of our method is verified by experiment results, which shows significant profit in practice.

Abstract: Hands are the most frequently moving segments of human body. Hand tools require fitness to hand dimensions of users. Hand anthropometry has promoted the measuring from tapes, calipers, or Martin-type anthropolometers to 3D laser scan. Nevertheless, all measurements of hands were under standard postures. Prediction models for functional posture dimensions were developed to compensate for the lack of this kind of databases. The project is planned to measure 3D surface range data under six different hand postures of two hands of each 600 subjects by a laser scan system. The primary validation for this scan system is presented in this paper. The resulted precision was 3.6% and accuracy was 2.2% and 5.3% for standard and functional posture, respectively.

Abstract: Aimed at the puzzle of being long in test time and low in test efficiency for test system of computer vision, the paper designed a sort of intelligent detection system for human activity based on RFID (Radio Frequency Identification).The latest developed technology of large scale integrations and digital signal processing have been used to made electronic bracelet label. The experiments demonstrate that the proposed detection algorithms are effective and the device is feasible.