A Fault Diagnosis Approach for the Hydraulic System by Artificial Neural Networks
Xiangyu He; Shanghong He;
- Publisher: IFSA Publishing, S.L.
- Journal: Sensors & Transducers (issn: 2306-8515, eissn: 1726-5479)
- Subject: Technology (General) | Hydraulic system | Fault diagnosis | Artificial neural networks (ANNs) | General regression neural network (GRNN). | Nonlinear system | T1-995acm: ComputerApplications_COMPUTERSINOTHERSYSTEMS | Hardware_PERFORMANCEANDRELIABILITY
Based on artificial neural networks, a fault diagnosis approach for the hydraulic system was proposed in this paper. Normal state samples were used as the training data to develop a dynamic general regression neural network (DGRNN) model. The trained DGRNN model then se... View more