Abstract
There are many auxiliaries with high rotating speed in a power plant, such as pumps, fans, motors and so on.To warrant their safe and reliable operation, their state of vibration has to be monitored. But because of their scattered location, the traditional way of online monitoring with shielded cable connections is costly and work expensive and the precision, reliability and safety of itinerant measurements are unable to meet the requirements of customers. A novel method of vibration monitoring for auxiliaries in power plant based on wireless sensor networks (WSN) has therefore been proposed to realize vibration data acquisition, on-line-detection and data analyzing in this paper, which meets the requirements of auxiliaries with less expenditure and warrants safe operation in the long run. The multi-sink topological structure of WSN can improve the transmission efficiency of multi-hop network to meet the vibration test requirements of low-latency, high frequency sampling and high data throughput. The sensor node can schedule its sampling and communication time to minimize sampling frequency and communication traffic, reduce the energy consumption and prolong the lifetime of WSN according to the prediction value of the sample data probability mode.
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Li, T., Fei, M. (2010). Vibration Monitoring of Auxiliaries in Power Plants Based on AR (P) Model Using Wireless Sensor Networks. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15859-9_30
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DOI: https://doi.org/10.1007/978-3-642-15859-9_30
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