Research on Monitoring System of Circuit Breakers Based on Neural Networks
- Resource Type
- Conference
- Authors
- Hou, Yimin; Liu, Tao; Lun, Xiangmin; Lan, Jianjun; Cui, Yang
- Source
- 2010 International Conference on Machine Vision and Human-machine Interface Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on. :436-439 Apr, 2010
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Bioengineering
General Topics for Engineers
Robotics and Control Systems
Circuit breakers
Neural networks
Condition monitoring
Temperature sensors
Humidity
Substations
Voltage
Intelligent systems
Computerized monitoring
Paper technology
Circuit Breakers
Monitoring System
Neural Networks
Malfunction Diagnosis
- Language
The paper proposed a monitoring system for the circuit breakers in the substation based on the Back Propagation Neural Networks(BPNN). The novel temperature and humidity sensor was used in the system to get temperature and humidity value in the breakers. The carbon resistor displacement sensor was employed to get the displacement data of the contact in the closing or breaking procedure. All the data was transferred into the BPNN to obtain the remainder service life of the breakers set and give an alarm for the malfunction. In the experiments, the parameters were measured and the results showed that the system in this paper was efficient.