A New Method for Multisensor Data Fusion Based on Wavelet Transform in a Chemical Plant
This paper presents a new multi-sensor data fusion method based on the combination of wavelet transform (WT) and extended Kalman filter (EKF). Input data are first filtered by a wavelet transform via Daubechies wavelet “db4” functions and the filtered data are then fused based on variance weights in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Petroleum University of Technology
2014-07-01
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| Series: | Iranian Journal of Oil & Gas Science and Technology |
| Subjects: | |
| Online Access: | http://ijogst.put.ac.ir/article_6622_d058b5a7e55265a279367db0fd1cb0b1.pdf |