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Dai, J., Tang, J., Huang, S., et al. (2019). Signal-based intelligent hydraulic fault diagnosis methods: Review and prospects. Chinese Journal of Mechanical Engineering, 32(1), 1-22.Search in Google Scholar
Jegadeeshwaran, R., Sugumaran, V. (2015). Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines. Mechanical Systems & Signal Processing, 52-53, 436-446.Search in Google Scholar
Gupta, S., Khosravy, M., Gupta, N., et al. (2019). Hydraulic system onboard monitoring and fault diagnostic in agricultural machine. Brazilian Archives of Biology and Technology, 62.Search in Google Scholar
Zhonghai, M. A., Shaoping, W., Jian, S. H. I., et al. (2018). Fault diagnosis of an intelligent hydraulic pump based on a nonlinear unknown input observer. Chinese Journal of Aeronautics, 31(2), 385-394.Search in Google Scholar
Joo, Y., Lee, J., Jeong, J. (2020). Ensemble fog computing architecture for unstable state detection of hydraulic system. Procedia Computer Science, 175, 230-236.Search in Google Scholar
Ahmadi, S., Moosazadeh, S., Hajihassani, M., et al. (2019). Reliability, availability and maintainability analysis of the conveyor system in mechanized tunneling. Measurement, 145, 756-764.Search in Google Scholar
Cao, Z. (2020). Design and Application on the Fault Diagnosis System for Hydraulic Components of Agricultural Machinery Equipment. Journal of Agricultural Mechanization Research.Search in Google Scholar
Jakobsson, E., Frisk, E., Krysander, M., et al. (2021). Fault Identification in Hydraulic Rock Drills from Indirect Measurement During Operation - Science Direct. IFAC-Papers OnLine.Search in Google Scholar
Wang, S., Xiang, J., Zhong, Y., et al. (2018). A data indicator-based deep belief networks to detect multiple faults in axial piston pumps. Mechanical Systems and Signal Processing, 112, 154-170.Search in Google Scholar
Tang, S., Yuan, S., Zhu, Y. (2020). Convolutional neural network in intelligent fault diagnosis toward rotatory machinery. IEEE Access, 8, 86510-86519.Search in Google Scholar
Yu, H., Li, H., Li, Y. (2020). Vibration signal fusion using improved empirical wavelet transform and variance contribution rate for weak fault detection of hydraulic pumps. ISA transactions, 107, 385-401.Search in Google Scholar
Hao, S., Yu, Y., Yu, J., et al. (2020). Structural response analysis of the hydraulic pneumatic tensioner under its local failure based on a fully coupled TLP-TTR system. Ocean Engineering, 216, 107645.Search in Google Scholar
Ebrahimi, E., Zarei, A., Astan, N. (2015). Evaluation of an intelligent system for prediction of hydraulic pump failure in grain combine harvester. Agricultural Communications.Search in Google Scholar
Zhang, X. P. (2018). Failure Analysis of Hydraulic Transmission System. Chemical Engineering Design Communications.Search in Google Scholar
Zhou, X., Lei, X. (2021). Fault Diagnosis Method of the Construction Machinery Hydraulic System Based on Artificial Intelligence Dynamic Monitoring. Mobile Information Systems.Search in Google Scholar
Jin, Y., Shan, C., Wu, Y., et al. (2018). Fault diagnosis of hydraulic seal wear and internal leakage using wavelets and wavelet neural network. IEEE Transactions on Instrumentation and Measurement, 68(4), 1026-1034.Search in Google Scholar
Guerrero-Sánchez, Y., Umar, M., Sabir, Z., et al. (2021). Solving a class of biological HIV infection model of latently infected cells using heuristic approach. Discrete & Continuous Dynamical Systems-S, 14(10), 3611.Search in Google Scholar