摘要
随着预测维修在企业中的推广 ,故障预报技术逐渐得到人们的重视。本文提出了一种基于强跟踪滤波器的自适应故障预报方法 ,能够对一类带时变参数的非线性系统进行故障预报。并且通过仿真验证了当系统带有未知噪声时 。
With the predictive maintenance (PM) being popularized in enterprise, the fault prediction technique is getting more and more attention. This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems. Computer simulation results demonstrate the effectiveness of the proposed approach, even when the system has unknown noise.
出处
《上海海运学院学报》
北大核心
2001年第3期35-40,45,共7页
Journal of Shanghai Maritime University
基金
国家自然科学基金 ( 6 0 0 2 5 30 7)
教育部资助项目
