摘要
电压敏感电路能够敏感发电机的输出电压,是发电机调压电路的重要环节,其发生的故障将影响电源系统的安全与稳定。利用小波子频带能量检测技术对输出电压信号进行处理,从中获取故障信息,作为神经网络的输入。训练过程及测试结果表明:基于松散型小波神经网络应用在电压敏感电路故障诊断中,具有较高故障诊断率,验证了该方法的有效性。
The voltage-sensitive circuit is an important part of the regulator of a generator, which will affect the normal and secure of a power system. In neural network fault diagnosis technology, the wavelet frequency band energy detection technology can be used to process the voltage sig- nal, and gain the information which will be the input of neural network that reflects the fault characteristics. The training process and result of testing show that the fault diagnosis method based on the loose wavelet neural network for voltage-sensitive has a preferable diagnosis rate.
出处
《计测技术》
2009年第6期44-46,58,共4页
Metrology & Measurement Technology
关键词
小波分析
频带能量检测
神经网络
电压敏感电路
故障诊断
wavelet analysis
frequency band energy detection
neural network
voltage-sensitive circuit
fault diagnosis
