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Signal Processing for Determining Water Height in Steam Pipes with Dynamic Surface ConditionsAn enhanced signal processing method based on the filtered Hilbert envelope of the auto-correlation function of the wave signal has been developed to monitor the height of condensed water through the steel wall of steam pipes with dynamic surface conditions. The developed signal processing algorithm can also be used to estimate the thickness of the pipe to determine the cut-off frequency for the low pass filter frequency of the Hilbert Envelope. Testing and analysis results by using the developed technique for dynamic surface conditions are presented. A multiple array of transducers setup and methodology are proposed for both the pulse-echo and pitch-catch signals to monitor the fluctuation of the water height due to disturbance, water flow, and other anomaly conditions.
Document ID
20170007009
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Lih, Shyh-Shiuh
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Lee, Hyeong Jae
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bar-Cohen, Yoseph
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 1, 2017
Publication Date
March 8, 2015
Subject Category
Fluid Mechanics And Thermodynamics
Meeting Information
Meeting: SPIE Smart Structures
Location: San Diego, CA
Country: United States
Start Date: March 8, 2015
End Date: March 12, 2015
Sponsors: International Society for Optical Engineering
Distribution Limits
Public
Copyright
Other
Keywords
health monitoring
Hilbert transform

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