摘要
以绝热近似小参数的随机共振理论为依据,提出变尺度随机共振的新方法,实现了大参数条件下的随机共振,进而达到从强噪声中检测出弱信号的目的。在大量可行的数值研究基础上,成功地将变尺度随机共振技术应用于电机故障的监测与诊断,证明了该方法在故障监测和预报方面是可行有效的。
On the basis of the adiabatic elimination stochastic resonance (SR) theory in small parameters, a new way, scale transformation stochastic resonance, has been proposed to realize SR phenomena under the condition of large parameters. A weak signal overwhelmed in heavy noise, therefore, can be detected. According to a large amount of investigation of effectively numerical simulations, the new technique has also been successfully applied to the monitoring and diagnosis of electromotor faults, which proves that the new method is valuable and available at faults' monitoring and forecast.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第11期111-115,共5页
Proceedings of the CSEE
基金
国家自然科学基金(50175081)~~
关键词
电机
故障监测
故障诊断
随机共振
Generator
Stochastic resonance
Noise
Weak signal detection
Fault monitoring
