A novel method for measuring liquid amount inside cylinders of ionic compressors based on soft sensing
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DOI: 10.1016/j.renene.2024.122322
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- Hong-bai Yang & Jiang-an Zhang & Lei-lei Chen & Hong-li Zhang & Shu-lin Liu, 2019. "Fault Diagnosis of Reciprocating Compressor Based on Convolutional Neural Networks with Multisource Raw Vibration Signals," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, July.
- Fu-yan Guo & Yan-chao Zhang & Yue Wang & Ping Wang & Pei-jun Ren & Rui Guo & Xin-Yi Wang, 2020. "Fault Detection of Reciprocating Compressor Valve Based on One-Dimensional Convolutional Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, April.
- Guo, Yi & Tang, Yuming & Wang, Lingzi & Wang, Yuli & Peng, Xueyuan, 2024. "Optimal design of operating frequency for the ionic liquid compressor applied in hydrogen storage," Renewable Energy, Elsevier, vol. 237(PB).
- Chen, Xi & Yu, Ruyi & Ullah, Sajid & Wu, Dianming & Li, Zhiqiang & Li, Qingli & Qi, Honggang & Liu, Jihui & Liu, Min & Zhang, Yundong, 2022. "A novel loss function of deep learning in wind speed forecasting," Energy, Elsevier, vol. 238(PB).
- Fragiacomo, Petronilla & Martorelli, Michele & Genovese, Matteo & Piraino, Francesco & Corigliano, Orlando, 2024. "Thermodynamic modelling, testing and sensitive analysis of a directly pressurized hydrogen refuelling process with a compressor," Renewable Energy, Elsevier, vol. 226(C).
- Kazemi, Shabnam & Nor, Mohamad Iskandr Mohamad & Teoh, Wen Hui, 2020. "Thermodynamic and economic investigation of an ionic liquid as a new proposed geothermal fluid in different organic Rankine cycles for energy production," Energy, Elsevier, vol. 193(C).
- Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
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