Fully automatic AI-based leak detection system
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DOI: 10.1016/j.energy.2010.05.038
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References listed on IDEAS
- Tylman, Wojciech & Anders, George J., 2006. "Application of probabilistic networks for decision support in power system analysis," Energy, Elsevier, vol. 31(14), pages 2874-2889.
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Cited by:
- Du, Zhimin & Chen, Ling & Jin, Xinqiao, 2017. "Data-driven based reliability evaluation for measurements of sensors in a vapor compression system," Energy, Elsevier, vol. 122(C), pages 237-248.
- He, Guoxi & Li, Yansong & Huang, Yuanjie & Sun, Liying & Liao, Kexi, 2019. "A framework of smart pipeline system and its application on multiproduct pipeline leakage handling," Energy, Elsevier, vol. 188(C).
- Brkovic, Aleksandar & Gajic, Dragoljub & Gligorijevic, Jovan & Savic-Gajic, Ivana & Georgieva, Olga & Di Gennaro, Stefano, 2017. "Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery," Energy, Elsevier, vol. 136(C), pages 63-71.
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Keywords
Bayesian networks; Neural networks; Pipe type cables; HPFF;All these keywords.
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