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弗德卡曼滤波阶比跟踪解耦新方法

         

摘要

Vold-Kalman-fihering order tracking (VKF_OT) is famous due to its decoupling ability for crossing or close orders. However, the conventional decoupling approach for VKF_OT has two deficiencies in application. First, it is a time-consuming scheme; second, it becomes invalid when the instantaneous frequencies of coupled order disturbances are unknown. A new approach decoupling crossing orders with VKF_OT was proposed here. It utilized the independent component analysis (ICA) approach to separate the mixed observed data into the order components corresponding to inde- pendent components and order-coupled disturbances. Subsequently, VKF_OT was only applied to the separated order components corresponding to independent components. The deficiencies for the conventional decoupling method, such as, the intensive computations and requirement of the instantaneous frequency of disturbance signals were avoided. Following the brief instruction of VKF_OT and ICA, the scheme of the proposed approach was presented. Simulations and tests were also introduced to evaluate the validity of the proposed approach.%弗德卡曼(Void-Kalman)滤波阶比跟踪法是目前旋转机械阶比分析中能对阶比耦合干扰进行有效解耦操作的方法.但是传统的弗德卡曼升滤波懈耦方法存在计算效率低,在无法充分获得耦合阶比瞬时频率信息时不能使用等不足.本文提出了一种基于独立分量分析技术的弗德卡曼滤波阶比跟踪解耦方法.其先将混合观察信号分解为阶比分量、耦合干扰等不同的独立信号分量,再在此基础上对分离出的阶比分量信号对应独立信号分量进行弗德卡曼滤波阶比跟踪分析,有效解决了传统解耦方法计算效率低,解耦需要干扰信号瞬时频率的不足.文中对弗德卡曼滤波阶比跟踪和独立分量分析的基本原理进行了简要介绍,在此基础上提出了本方法的实现方案.通过仿真试验和实际测试对本方法的有效性进行了评价.

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