断层(地质)
控制理论(社会学)
噪音(视频)
变量(数学)
信号(编程语言)
干扰(通信)
非周期图
随机共振
计算机科学
方位(导航)
振动
声学
数学
物理
数学分析
电信
人工智能
地质学
地震学
频道(广播)
程序设计语言
图像(数学)
组合数学
控制(管理)
作者
Xuzhu Zhuang,Changwei Yang,Jianhua Yang,Chensi Wu,Zhen Shan,Tao Gong
标识
DOI:10.1142/s0219477522500158
摘要
The fault characteristic of rolling bearings under variable speed condition is a typical non-stationary stochastic signal. It is difficult to extract due to the interference of strong background noise makes the applicability of traditional noise reduction methods less. In this paper, an aperiodic stochastic resonance (ASR) method is proposed to study the fault diagnosis of rolling bearings under variable speed conditions. Based on numerical simulation, the effect of noise intensity and damping coefficient on the ASR of the second-order underdamped system is discussed, and an appropriate damping coefficient is found to reach the optimal ASR. The proposed method enhances the fault characteristic information of bearing fault simulation signal. Corresponding to rising-stationary and the stationary-declining running conditions, the method is verified by both simulated and experimental signals. It provides reference for fault diagnosis under variable speed condition.
科研通智能强力驱动
Strongly Powered by AbleSci AI