滚动轴承
解调
噪音(视频)
双谱
故障检测与隔离
窄带
工程类
电子工程
包络检波器
探测器
方位(导航)
包络线(雷达)
计算机科学
探测理论
控制理论(社会学)
振动
声学
电信
人工智能
光谱密度
物理
执行机构
放大器
CMOS芯片
频道(广播)
雷达
控制(管理)
图像(数学)
作者
Xinshou Tian,Jiahui Gu,Ibrahim Rehab,Gaballa Abdalla,Fengshou Gu,Andrew Ball
标识
DOI:10.1016/j.ymssp.2017.07.037
摘要
Envelope analysis is a widely used method for rolling element bearing fault detection. To obtain high detection accuracy, it is critical to determine an optimal frequency narrowband for the envelope demodulation. However, many of the schemes which are used for the narrowband selection, such as the Kurtogram, can produce poor detection results because they are sensitive to random noise and aperiodic impulses which normally occur in practical applications. To achieve the purposes of denoising and frequency band optimisation, this paper proposes a novel modulation signal bispectrum (MSB) based robust detector for bearing fault detection. Because of its inherent noise suppression capability, the MSB allows effective suppression of both stationary random noise and discrete aperiodic noise. The high magnitude features that result from the use of the MSB also enhance the modulation effects of a bearing fault and can be used to provide optimal frequency bands for fault detection. The Kurtogram is generally accepted as a powerful means of selecting the most appropriate frequency band for envelope analysis, and as such it has been used as the benchmark comparator for performance evaluation in this paper. Both simulated and experimental data analysis results show that the proposed method produces more accurate and robust detection results than Kurtogram based approaches for common bearing faults under a range of representative scenarios.
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