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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gray, M. Morsi, W.G. |
| Copyright Year | 2015 |
| Abstract | In this paper, non-intrusive load monitoring using a single point sensing and wavelet-based classification is presented and applied to a test system feeding two dynamic and two static three-phase loads. The features in the three-phase voltage and current signals are extracted by wavelet transform to decompose the original signals. The energy of the obtained wavelet coefficients at the detail levels constitute a feature set for classification. Decision trees representing ensemble classifiers are then developed using the wavelet-based features and the performance of each ensemble classifier is then evaluated in the presence of several power quality disturbances resulting from applying several faults types and at different locations. The results have shown that higher order Daubechies wavelets, and in particular Daubechies of order 5, as well as more decision trees in the ensemble classifier both contribute to more accurate classification. |
| Starting Page | 41 |
| Ending Page | 45 |
| File Size | 266701 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479958276 |
| ISSN | 08407789 |
| e-ISBN | 9781479958290 |
| DOI | 10.1109/CCECE.2015.7129157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-03 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Switches Accuracy Monitoring Feature extraction Decision trees Transient analysis Testing classification Wavelet non-intrusive load monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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