Design of Information Terminal for PHM Based on Multi-MEMS Sensors

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In order to accomplish the Prognostics and Health Management System(PHM) for guided missile, sensor network node of storage and conveyance’s environment’s monitoring based on multi-MEMS sensors is designed. Centering on the low power consumption singlechip, microsensor collecting the information of temperature, humidity, acceleration(calculate quiver), and magnetic field intensity(calculate posture), realizing the wireless communication between the node and the upper management system (ARM controller) with the radio frequency send-receive chip nRF2401. This node has the characteristic of small volume, easy to layout, low power consumption, continuous operation for long time and so on. It preferably realized the function of information terminal of PHM system.

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1936-1940

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] HessA, Fila L. The joint strike fighter (JSF) PHM concept: potential impact on aging aircraft problems. Aerospace Conference Proceedings, 2002, 6, pp.3021-3026.

DOI: 10.1109/aero.2002.1036144

Google Scholar

[2] Shunfeng Cheng, Michael H. Azarian, Michael G. Pecht. Sensor Systems for Prognostics and Health Management. Sensors 2010, 10, pp.5774-5797.

DOI: 10.3390/s100605774

Google Scholar

[3] Li Zhimin, Li Shining. Design and Implementation of 12 C Device Driver for Sensor Node in W ireless Sensor Network. Computer Measurement & Control, 2010. 18(3) , pp.727-730.

Google Scholar

[4] A Review of Structural HealthMonitoring Literature 1996 - 2001. Los Alamos National Laboratory Report, (2003).

Google Scholar

[5] Li Wenxin, Wang Guanglong. Development of I2C driver for digital compass IC based on Win CE. Electronic Measurement Technology, 2009, 32(10) , pp.73-76.

Google Scholar

[6] Fu Bing. Wireless communication between PC and microprocessor based on nRF-401. Global electronics China, 2004. 11, pp.50-53.

Google Scholar

[7] Zeng Qinxi, Wang Qiang, Yang Yinjie. A software and hardware solution of the interface between nRF2401and SPI of MCU. Journal of Northeast Dianli University, 2006(1) , pp.45-47.

Google Scholar

[8] Xiao Shengwu, Zu Jing. Multi-Parameter Intelligent Electronics Testing Instrument. Zhongbei University, (2009).

Google Scholar

[9] Hongsheng Li, et al. Node Power Management Design in Wireless Sensor Networks Based on Genetic Algorithm. International Conference on Networking and Digital Society, (2010).

DOI: 10.1109/icnds.2010.5479596

Google Scholar

[10] Tan Changgeng, et al. A sink moving scheme based on local residual energy of nodes in wireless sensor networks. J. Cent. South Univ. Techno1. (2009)16, pp.0265-0268.

DOI: 10.1007/s11771-009-0045-z

Google Scholar

[11] Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal. Wireless sensor network survey. Computer Networks 52 (2008), p.22922330.

DOI: 10.1016/j.comnet.2008.04.002

Google Scholar

[12] Ren C. Luo, Liang ChaoTu, Ogst Chen. An eficient dynamic power management policy on Sensor network. In Proc. of the 19th AINA, (2005).

DOI: 10.1109/aina.2005.98

Google Scholar

[13] Lu Keyi, Guan Peng, Zhang Wenchao. Low power consumption research of smart life information wireless sensor. Life Science Instruments, 2007, 5(2), pp.28-33.

Google Scholar