17 April 2013 Advanced signal processing for high temperatures health monitoring of condensed water height in steam pipes
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Abstract
An advanced signal processing methodology is being developed to monitor the height of condensed water thru the wall of a steel pipe while operating at temperatures as high as 250°C. Using existing techniques, previous study indicated that, when the water height is low or there is disturbance in the environment, the predicted water height may not be accurate. In recent years, the use of the autocorrelation and envelope techniques in the signal processing has been demonstrated to be a very useful tool for practical applications. In this paper, various signal processing techniques including the auto correlation, Hilbert transform, and the Shannon Energy Envelope methods were studied and implemented to determine the water height in the steam pipe. The results have shown that the developed method provides a good capability for monitoring the height in the regular conditions. An alternative solution for shallow water or no water conditions based on a developed hybrid method based on Hilbert transform (HT) with a high pass filter and using the optimized windowing technique is suggested. Further development of the reported methods would provide a powerful tool for the identification of the disturbances of water height inside the pipe.
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Shyh-Shiuh Lih, Yoseph Bar-Cohen, Hyeong Jae Lee, Nobuyuki Takano, Xiaoqi Bao, "Advanced signal processing for high temperatures health monitoring of condensed water height in steam pipes", Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86950I (17 April 2013); doi: 10.1117/12.2021303; https://doi.org/10.1117/12.2021303
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