基于UKF的故障检测用于具有强噪声和通信协议的非线性随机系统
Yang Feng1, Ming Gao1, Wuxiang Huai2
1College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China.
ISA transactions
|August 12, 2025
概括
这项研究引入了一种无气味的卡尔曼波器,用于在杂的非线性系统中检测故障,通过通信协议和先进的降噪技术提高了准确性.
科学领域:
- 控制系统工程 控制系统工程
- 信号处理 信号处理
- 随机系统 随机系统 随机系统
背景情况:
- 非线性随机系统容易受到噪音和通信延迟的影响.
- 有效的故障检测对于系统可靠性和安全性至关重要.
- 现有的方法与强大的噪音和复杂的通信协议作斗争.
研究的目的:
- 为非线性随机系统开发一个强大的故障检测方法.
- 为应对强噪声和通信协议所带来的挑战.
- 量化分析故障检测能力及其影响因素.
主要方法:
- 在通讯协议 (Round-Robin,加权试一次丢弃) 下使用无气味卡尔曼波器进行状态估计.
- 使用指数加权移动平均值方法设计了一个新的残余生成器和评估函数.
- 应用随机分析理论来确定错误检测分析的定量不平等.
主要成果:
- 成功实现了使用通信协议的非线性系统的状态估计.
- 开发了一种方法来抵消强烈的噪音影响,减少错误报警和错误检测.
- 导出了故障幅度,权重系数,错误报警率和错误检测率之间的关系.
结论:
- 提出的无气味卡尔曼波器故障检测方法对于非线性随机系统是有效的.
- 该方法证明了对强噪声和通信协议的稳定性.
- 通过在可转向钻井工具系统上的模拟和实验来验证.
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