Health monitoring of an electro-hydraulic system using ordered neural networks

An electro-hydraulic system (EHS) that consists of a hydraulic pump driven by brushless DC motor is monitored for pump cavitation using feedforward fully connected artificial neural networks. The effectiveness of monitoring is demonstrated in a laboratory environment using open software architecture (OSA) framework.