Leakage Detection in Water Distribution Networks Based on Multi-Feature Extraction from High-Frequency Pressure Data
نویسندگان
چکیده
Leakage detection is an important task to ensure the operational safety of water distribution networks. characteristic extraction based on high-frequency data has been widely used for leakage in experimental However, accuracy single-feature-based methods limited by interference background pressure fluctuations In addition, setting diagnosis thresholds insufficiently studied, but influences performance greatly. Hence, a new method proposed multi-feature extraction. The multi-features are composed instantaneous characteristics (ICs) and trend (TCs), which constitute comprehensive information. levels drops network environments quantified thresholds. ICs TCs degree prediction. was applied network. Compared with cumulative sum (CUSUM) method, achieved increases 6.01% 13.66% F-Scores, respectively, showed better adaptability complex environments.
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ژورنال
عنوان ژورنال: Water
سال: 2023
ISSN: ['2073-4441']
DOI: https://doi.org/10.3390/w15061187