Applied Mechanics and Materials
Vol. 750
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Applied Mechanics and Materials
Vol. 749
Vol. 749
Applied Mechanics and Materials
Vol. 748
Vol. 748
Applied Mechanics and Materials
Vol. 747
Vol. 747
Applied Mechanics and Materials
Vols. 744-746
Vols. 744-746
Applied Mechanics and Materials
Vol. 743
Vol. 743
Applied Mechanics and Materials
Vol. 742
Vol. 742
Applied Mechanics and Materials
Vol. 741
Vol. 741
Applied Mechanics and Materials
Vol. 740
Vol. 740
Applied Mechanics and Materials
Vols. 738-739
Vols. 738-739
Applied Mechanics and Materials
Vol. 737
Vol. 737
Applied Mechanics and Materials
Vol. 736
Vol. 736
Applied Mechanics and Materials
Vol. 735
Vol. 735
Applied Mechanics and Materials Vol. 742
Paper Title Page
Abstract: Rolling bearing is an important part of rotating machinery. Its failure will directly affect the normal operation of the whole machinery. This study proposed an intelligent diagnosis model based on Fuzzy support vector description for the quantitative identification of bearing fault. The proposed model constructs the spherically shaped decision boundary by training the features of normal bearing data, and then calculates the fuzzy monitoring coefficient to identify the bearing damage.
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Abstract: This paper presented methods for collecting and analyzing heart rate data during virtual-world driving task in emergency to distinguish and assess a driver’s stress state. The primer study had developed the driver stress training system loaded on driving simulator to display 14 typical emergency scenarios in different road environment. Electrocardiogram was recorded continuously by Physiological Sensors while drivers followed a random simulated driving on the driving simulator. Data from 30 drivers of at least 10 times per scenario were collected for analysis. The data were analyzed in two ways of HRV (Heart Rate Variability) analysis. Analysis I used time domain indexes of data during the driving in the whole training to distinguish the stress occur during the time frame of the scenario with an accuracy of over 98% across multiple drivers and driving days. Analysis II compared frequency indexes of data in stress state in emergency and in clam, with a metric of observable stressors created by the scenarios. The results showed that heart rate metrics is most closely correlated with driver stress level for most drivers studied. These findings confirmed that heart rate signals can provide a metric of driver stress in future cars capable of physiological monitoring. Such measurement could be used to help manage non-critical and critical in-vehicle information systems and could also provide a continuous measure of how different road and traffic conditions affect drivers. Physiological sensors can be used in driving assistance system in future.
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Abstract: This article introduces, by the application of equivalent conversion of line integral of probability integral method theoretical model, the research of the system architecture, main function and key technology of the intelligent mining subsidence prediction system which includes mining subsidence prediction and surface movement station parameters obtainment and can directly connect with the AutoCAD which is generally applied in mining area. Combined with specific engineering, this article introduces the actual application condition of this system to guide the safety production of coal mine and to assist engineering designers to work on the mining subsidence prediction better.
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Abstract: A testing circuit of probe is designed to research the electrical properties of the probe under different loading frequencies. Sinusoidal signals of different frequencies are produced by Tektronix AFG3102 signal generator, and DSOX2022A Oscilloscope is used to measure the probe voltage,constant resistance voltage and the source voltage, so the phase between the probe voltage and constant resistance voltage can be calculated. Assumed the constant resistance is a pure resistance. Since the circuit is connected in series, so the phase between the probe voltage and the probe current can be calculated. The result reveals that the probe shows resistive when the phase between the probe voltage and the probe current is 0 ° within 200 KHz frequency. Beyond 200 KHz the phase between the probe voltage and the probe current increases to 60 ° and then declines to a steady value 40°, which shows that the probe is inductive.
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Abstract: At present, the three-dimension imaging technology has developed rapidly, in monitoring, identification, navigationand other fields having been widely used. The SR4000 camera is a 3D imaging equipment which is based on TOF(Time of flight) technology.It is a kind of new, small 3D imaging equipment , which can capture gray, depth, and amplitude image at the same time. It has more incomparable advantages than traditional cameras. TOF three-dimension imaging technology has become a research hotspot at home and abroad.But the TOF camera also has its own defects.The resolution is low. And it is more easily affected by noise and surroundings . This paper proposes a kind of algorithm of super resolution reconstruction based on pocs. Furthermore, improve the pocs algorithm. This method has good improvement effect.In order to further improve the quality of the distance images, wavelet denoising is adopted on the basis of super resolution reconstruction .So, it has a good improvement for the captured distance images.
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Abstract: The state estimation based on the synchronous phasor measuring unit (PMU) is the wide-area measurement system (WAMS) of important technical support, It is great to real-time monitoring of large area power grid control direction and provides advanced information technology platform. it provides advanced information technology platform for real-time monitoring of large area power grid and control direction, but the current wide-area measurement system less point, difficult to direct the system state estimation. This paper proposes a method based on PMU and SCADA mixed measurement state estimation. The simulation results show that this method has a higher convergence speed, And from the topology of the network structure of the restrictions.
172
Abstract: In the air-lines construction, the major project problems performance: the inclination angle of cable traction plate can’t remain stable; cable often jump or drop off pulley groove in stringing process. As the position of traction plate and pulley is beyond the view of workers, workers are unable to monitor their operational status in real time, which influences the efficiency of construction seriously. This paper presents a set of intelligent video surveillance system based on wireless network. The system can capture video and angle data, then these data is transferred to ground through the wireless network. Receiving terminal is designed based on C # and Java language respectively. Video and angle data can be displayed on PC and mobile phone. Practice has proven that this system is: high real-time, clear pictures, far transmission distance and easy to carry. It improves the efficiency of construction greatly.
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Abstract: ZigBee is a low-rate, low-power-consumption wireless communication technology, which can be widely used in the Wireless Sensor Network (WSN). ZigBee wireless network is applied to the monitoring system of gas flow meters in this paper. The design of hardware and software of the system based on Zigbee chip is given. The gas flow data is uploaded to the terminal node via RS485 serial port, and the terminal node transmits the data to the coordinator by the ZigBee wireless network, and then the coordinator sends the data to the PC by using RS232 serial port. In this way, the monitoring center can manage and analyze the data, so the real-time monitoring can be realized. It has been proved that the system has strong anti-interference ability, safe and reliable and stable operation.
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Abstract: Aiming at the influence of temperature on the rate of chicken’s hatchability in hatch field, this paper uses a flexible wireless VISA communication technology based on LabVIEW to measure and control the temperature in process of chicken hatching. The hardware part was composed of microcontroller C8051F530, digital temperature sensor DS18B20, wireless data transmission module nRF and display module HB240128 for real-time acquisition and processing of temperature data. The software part was written by graphical programming software LabVIEW, and used it to design system interface for functions of real-time processing of temperature data, waveform display, threshold alarm etc. The system can be implemented by hardware circuit itself and computer system interface for the temperature control, which enhanced flexibility of the system and was conducive to troubleshoot interference problems. The test results show that the temperature measurement system was characterized by simple operation, easy maintenance, steady performance and high accuracy.
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Abstract: In the process of coal-mine production, the self-ignition of left coal in goaf area has always been major disasters, and spawns amount of economic loss. As a consequence, it is necessary and essential to monitor the self-ignition of left coal in goaf. In consideration of the complex and poor environment of the goaf area, this thesis adopts ZigBee wireless sensor network instead of traditional fixed cable sensor network to monitor the self-ignition of coal goaf area. It has the advantages of wild covering, convenient layout and easy adapting to environment. In addition, counting on the revised routing algorithm, the whole wireless sensor network has obvious advantages of its network performance and low consumption, which makes the whole system monitor the self-ignition of left coal steadily and permanently.
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