Development on the Partial Discharge On-Line Monitoring System of Transformer Based on Embedded System

Ultrasonic detection method is used in this system, a solutions based on the uClinux embedded operating system and Samsung S3C2410 processor is proposed. The hardware design and software design for system are discussed in detail. The paper studies the application technology of Neural networks and wavelet transform in PD online monitoring system in power transformer. This system has the characteristic of small volume, low cost, high accuracy, high reliability and etc. It can be used widely in future.