摘要
简要介绍了Gabor变换的基本思想,提出了一种新的基于Gabor变换的自适应信号降噪方法。分析了该方法的降噪特性,同时比较了小波降噪和该方法的降噪效果。将该方法用于齿轮箱的故障诊断,结果表明,该方法能够有效识别齿轮箱中的齿轮典型故障。
The basic theory of Gabor transform is first introduced, and an adaptive noise reduction method based on Gabor transform is presented. Then the de-noising results are researched by simulated signals, and the result of wavelet de-noising is compared with the adaptive de-noising method. At last, this new method is applied to analyze the measured signal from gear-box and the result shows this method can diagnose the fault information under strong noise.
出处
《石家庄铁道大学学报(自然科学版)》
2010年第2期69-73,共5页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
基金
国家自然科学基金项目(10602038)
教育部科学技术研究重点项目(209013)