On-line monitoring and diagnosis of membrane fouling using ultrasonic techniques
| Autor: | Yun-Chen Yang, Junghui Chen, Jia-Yu Huang |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Chromatography
Fouling business.industry Computer science Process Chemistry and Technology Feature extraction Membrane fouling Ultrafiltration Computer Science Applications Analytical Chemistry Wavelet packet decomposition law.invention Wavelet law Ultrasonic sensor Process engineering business Spectroscopy Software Filtration |
| Zdroj: | Chemometrics and Intelligent Laboratory Systems. 127:147-157 |
| ISSN: | 0169-7439 |
| DOI: | 10.1016/j.chemolab.2013.06.009 |
| Popis: | In membrane filtration, fouling and its performance can be affected by different operation conditions, so there is a need for diagnosis of the filtration system. It is difficult to identify the status of the filtration simply from sensor reading; in addition, some observation data cannot be obtained online but from the lab test. In this research, the ultrasonic detection of the local region of the membrane is proposed. The wavelet packet transform is used for feature extraction of the reflection signal. Principal component analysis with Gaussian smoothing is then used to classify the data and C4.5 is used to construct the diagnosis system for filtration processes. The proposed method applied to a degummed process of vegetable oil shows a good performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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