Order Based Modal Analysis Using Vold-Kalman Filter

Xiaoyu Zhang, Lin Yue
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引用次数: 2

Abstract

Different from the operational modal analysis (OMA), the order based modal analysis (OBMA) is based on periodic sweep to obtain the dynamic behaviors of machinery. Therefore, its applicable condition is that the mechanical system generates periodic excitation force during the operational process. Due to the imbalance and misalignment of the rotating mechanical, it generates periodic excitation force whose frequency is proportional to the rotational speed during revolution. This paper utilizes OBMA to identify the resonances from the simulated signal with crossing order and white noise. First, the Vold-Kalman filter based order tracking (VK) method is utilized to extract harmonic response known as engine orders. Finally, the least-squares complex frequency-domain estimation method (PolyMAX) is applied to identify the resonance frequency, damping and modal shapes. Especially, two modes whose natural frequencies are close are successfully separated.
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基于阶次的Vold-Kalman滤波器模态分析
与运行模态分析(OMA)不同,基于阶次的模态分析(OBMA)是基于周期扫描来获取机械的动态行为。因此,其适用条件是机械系统在运行过程中产生周期性激振力。由于旋转机械的不平衡和不对中,产生周期性激振力,激振力的频率与旋转时的转速成正比。本文利用OBMA从具有交叉阶数和白噪声的模拟信号中识别出共振。首先,利用基于Vold-Kalman滤波的阶次跟踪(VK)方法提取发动机阶次谐波响应。最后,应用最小二乘复频域估计方法(PolyMAX)识别谐振频率、阻尼和模态振型。特别是,成功地分离了固有频率相近的两个模态。
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