摘要
为提高系统运行的可靠性以及安全性,故障检测技术已经成为很多技术流程中必不可少的部分。在系统的数学模型中,故障可分为加性故障和参数故障,参数故障是较加性故障更为复杂的一种故障类型。本文针对一类带乘性噪声的复杂系统,建立了其参数故障模型。并在传统最优滤波的基础上推导出该系统的常增益最优滤波公式,研究了参数故障在新息中的表现形式并给出了相关证明。基于故障发生前后新息序列的变化规律,本文设计了一类参数故障检测方法。仿真结果表明该方法能够及时有效的识别出故障的发生点。
In order to improve the reliability and security of the system operation,fault detection（FD）technology has become an indispensable part of the technical process.All faults can be classified as either additive faults or multiplicative faults.Additive faults appear,e.g.,as offsets of sensors,whereas multiplicative faults are parameter changes within a process.In this paper,a new parametric fault model based on systems with multiplicative noise is proposed.Based on the constant gain filter,the authors study the relation between parametric fault and the residual.Based on the change rule of the residual before and after the fault happens,a new FD method is proposed.Simulation results show that the method can efficiently identify the fault point.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第8期103-106,共4页
Periodical of Ocean University of China
基金
国家自然科学基金项目(51279185
61132005)资助
关键词
故障检测
乘性噪声
最优滤波
常增益
fault detection
multiplicative noise
optimal filter
constant gain
