随机共振
钢丝绳
绳子
信号(编程语言)
非线性系统
指数函数
噪音(视频)
探测理论
干扰(通信)
计算机科学
信号处理
控制理论(社会学)
算法
电子工程
声学
工程类
结构工程
数学
物理
数学分析
人工智能
电信
探测器
图像(数学)
频道(广播)
数字信号处理
程序设计语言
量子力学
控制(管理)
作者
Shiwei Liu,Yanjing Sun,Yihua Kang
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:69 (7): 7428-7440
被引量:15
标识
DOI:10.1109/tie.2021.3095802
摘要
Steel wire rope can be frequently damaged by various factors. Although weak defect signal detection is the key to guarantee safety, current classic stochastic resonance (SR) models and methods are unavailable due to the complicated interference of noise. Thus, in this article, a novel E-exponential SR model and weak signal detection method are proposed. The principle of this model is first introduced from the perspective of Taylor expansion and nonlinear system analysis. Then, the model performance is simulated and evaluated by output signal analysis and chaos characterizations. Afterward, model comparison with different system parameters, experiments, and case studies regarding three typical wire rope defects inspection and weak signal recognition is conducted to demonstrate the validity of the novel method. Finally, the advantages and limitations of the proposed SR model are discussed.
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