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Research on Network-based Integrated Condition Monitoring Unit for Rotating Machinery
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作者 XIXiao-peng ZHANGWen-rui +2 位作者 XIShuan-min jingmin-qing YULie 《International Journal of Plant Engineering and Management》 2004年第3期139-144,共6页
In this paper, a network-based monitoring unit for condition monitoring andfault diagnosis of rotating machinery is designed and implemented. With the technology of DSP(Digital signal processing) , TCP/IP, and simulta... In this paper, a network-based monitoring unit for condition monitoring andfault diagnosis of rotating machinery is designed and implemented. With the technology of DSP(Digital signal processing) , TCP/IP, and simultaneous acquisition, a mechanism of multi-process andinter-process communication, the integrating problem of signal acquisition, the data dynamicmanagement and network-based configuration in the embedded condition monitoring system is solved. Itoffers the input function of monitoring information for network-based condition monitoring and afault diagnosis system. 展开更多
关键词 condition monitoring integrated monitoring unit network-basedconfiguration interprocess communication digital signal processing
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An On-line Ferrograph for Monitoring Machine Wear
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作者 LUEXiao-jun jingmin-qing XIEYou-bai 《International Journal of Plant Engineering and Management》 2005年第1期1-7,共7页
In order to improve an on-line ferrograph, this paper simulates a three-dimensional magnetic field distribution of an electromagnet, builds a sinking motion model of a wear particle, and investigates the motion law of... In order to improve an on-line ferrograph, this paper simulates a three-dimensional magnetic field distribution of an electromagnet, builds a sinking motion model of a wear particle, and investigates the motion law of wear particles under two different conditions. Both numeric results and experimental results show that the on-line ferrograph is capable of monitoring machine wear conditions by measuring the concentration and size distribution of wear particles in lubricating oil. 展开更多
关键词 on-line ferrograph condition monitoring wear particles WEAR
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