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Extended Study of Fiber Optic-Based Humidity Sensing System Performance for Sewer Network Condition Monitoring

机译：下水道网络状况监测光纤湿度传感系统性能的扩展研究

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Bruno Rente; Matthias Fabian; Miodrag Vidakovic; Louisa Vorreiter; Heriberto Bustamante; Tong Sun; Kenneth T. V. Grattan;
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年度 2021
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1. Comparison of classification and supervised learning algorithms in assessing the hydraulic conditions of sewer collection systems: A case study of local sewer networks in Jinju City, Korea [J] . Ki Seo Jin, Lee Chun-Sik, Jung Won-Hee, Desalination and water treatment . 2018,第AUGa期

机译：分类和监督学习算法在评估下水道收集系统水力状况方面的比较：以韩国晋州市的当地下水道网络为例
2. Performance study of a constant temperature and humidity air-conditioning system with temperature and humidity independent control device [J] . X.J. Zhang, F. Xiao, S. Li Energy and Buildings . 2012,第Juna期

机译：具有温湿度独立控制装置的恒温恒湿空调系统的性能研究
3. Improvement of humidity sensing performance of BiFeO3 nanoparticles-based sensor by the addition of carbon fibers [J] . Douani Rachida, Lamrani Nouara, Oughanem Mhand, Sensors and Actuators, A. Physical . 2020,第1期

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4. Traffic monitoring/control and road condition monitoring using fiber optic-based systems [C] . Whitten L. Schulz, Blue Road Research, Fairview, Conference on smart systems for bridges, structures, and highways . 1999

机译：使用基于光纤的系统进行交通监控/控制和路况监控
5. A Comparative Analysis on Sewer Structural Condition Grading Systems Using Four Sewer Condition Assessment Protocols. [D] . Khazraeializadeh, Soroush. 2012

机译：使用四种下水道状况评估协议对下水道结构状况分级系统进行比较分析。
6. Fiber Optic-Based Refractive Index Sensing at INESC Porto [O] . Pedro A. S. Jorge, Susana O. Silva, Carlos Gouveia, 2012

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7. Automated monitoring system for events detection in sewer network by distribution temperature sensing data measurement [O] . Abdelhak Kessili, Jes Vollertsen, Asbjørn Haaning Nielsen 2018

机译：分配温度传感数据测量，下水道网络中的事件检测自动化监控系统
8. Advanced Fiber Optic-Based Sensing Technology for Unmanned Aircraft Systems [R] . Richards, L., Parker, A. R., Piazza, A., 2011

机译：基于先进光纤的无人机系统传感技术

Extended Study of Fiber Optic-Based Humidity Sensing System Performance for Sewer Network Condition Monitoring

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