Heat pump fault diagnosis based on genetic BP neural network
Повний текст:PDF (English)
Zengkai Liu, Yonghong Liu, Dawei Zhang, et al. Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge [J]. Energy, 2015:41 – 48.
Yi Yu, Yu Yun Li, Yong Ma, Xian Fang Hu. Energy Efficiency Testing of Ground Source Heat Pump System and Discussion of Fault Diagnosis [J]. Advanced Materials Research, 2013:587 – 590.
Baoping Cai, Yonghong Liu, Qian Fan, et al. Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network [J]. Applied Energy, 2014:1 – 9.
Wan Q., Dong H., Fan B., Zhou E. et al. A novel model based on neural network of evaporator in solar heat pump system [C]. Proceedings of the 2010 IEEE International Conference on Control Applications, 2010.
Mkadem F, Boumaiza S. Physically inspired neural network model for RF power amplifier behavioral modeling and digital predistortion [J]. IEEE Transactions on Microwave Theory and Techniques, 2011, 59:4.
Fengrong Bi, Yiping Liu.Fault diagnosis of valve clearance in diesel engine based on BP neural network and support vector machine [J]. Transactions of Tianjin University, 2016, 22(6):536 – 543.
Shui Ming He, Lu Wen Liu. Using the Improved Genetic BP Neural Network Algorithm for Lithologic Identification [J]. Advanced Materials Research, 2014:389 – 392.
Hatef Madani, Erica Roccatello. A comprehensive study on the important faults in heat pump system during the warranty period [J]. International Journal of Refrigeration, 2014:19 – 25.
Huixuan Fu, Hong Zhao. Application design of MATLAB neural network [M]. Beijing: Machinery Industry Press, 2010.
Yong Jun Zhang. Design of on line monitoring and fault diagnosis system for transformer in Intelligent Substation [D]. 2017.
Feng Yu, Xiaozhong Xu. A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network [J]. Applied Energy, 2014:102 – 113.