Determining the Working Behaviour of Hydraulic System Using Support Vector Machine
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[1] Jatin Prakash,et al. Health prediction of hydraulic cooling circuit using deep neural network with ensemble feature ranking technique , 2020 .
[2] Nikolai Helwig,et al. Condition monitoring of a complex hydraulic system using multivariate statistics , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.
[3] S. Gupta,et al. An analytical approach to evaluate the maximum load carrying capacity for pin-mounted telescopic hydraulic cylinder , 2020 .
[4] Pavan Kumar Kankar,et al. Bearing Fault Diagnosis Using Feature Ranking Methods and Fault Identification Algorithms , 2016 .
[5] Jianyong Yao,et al. Internal Leakage Fault Detection and Tolerant Control of Single-Rod Hydraulic Actuators , 2014 .
[6] P W Ilott,et al. Fault diagnosis of pumping machinery using artificial neural networks , 1997 .
[7] Pavan Kumar Kankar,et al. Ball Bearing Fault Diagnosis Using Supervised and Unsupervised Machine Learning Methods , 2015 .
[8] Raksha Upadhyay,et al. Channel optimization and nonlinear feature extraction for Electroencephalogram signals classification , 2015, Comput. Electr. Eng..