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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Xiaojing Wang Ping |
| Copyright Year | 2011 |
| Description | Author affiliation: School of electrical engineering and automation, Tianjin Polytechnic University, China (Wang Ping) || Computation center, Tianjin Polytechnic University, China (Li Xiaojing) |
| Abstract | In order to improve the measure performance of gas ultrasonic Doppler Flowmeter in lower velocity, the optimized algorithm of autocorrelation filtering is applied to increase signal to noise ratio. Then by applying Fast Fourier Transform (FFT), frequency is derived and the invalidation problem of Fourier Transform when the velocity is under 0.2m/s is avoided. The result shows that, when the velocity is under 0.08m/s, this method is very efficient in rejecting interference noise and improving successful rate of identifying signals, therefore extends the lower measure limit of ultrasonic Doppler Flowmeter. |
| Starting Page | 2889 |
| Ending Page | 2891 |
| File Size | 250951 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424480364 |
| e-ISBN | 9781424480395 |
| DOI | 10.1109/ICEICE.2011.5778016 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Automation Fluid flow measurement Ultrasonic variables measurement Microcontroller Fast Fourier Transform (FFT) Electric variables measurement Autocorrelation filter Acoustics Doppler effect Doppler flow measurement |
| Content Type | Text |
| Resource Type | Article |
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