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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tao Sun Hongjian Zhang Chiying Hu |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China (Tao Sun; Hongjian Zhang; Chiying Hu) |
| Abstract | A novel scheme to identify flow regime and measure quality in gas-liquid two-phase using differential pressure signal is proposed. Flow regime is identified based on wavelet analysis and back-propagation (BP) neural network. Nine-scale Haar wavelet decomposition is performed on differential pressure signal. The scale energy ratio is extracted as the input of BP network to identify flow regime. Based on the flow regime information, relation between quality and pressure signal is fitted by polynomial. Experiments show that in annular flow, the polynomial fits well. |
| Sponsorship | IEEE Instrum. Measurement Soc |
| Starting Page | 1471 |
| Ending Page | 1474 |
| File Size | 266206 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372182 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2002.1007175 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet analysis Fluid flow measurement Signal processing Testing Neural networks Polynomials Signal analysis Chemical industry Pressure measurement Data acquisition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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