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首页> 外文会议>Sensors and systems for reliability, safety and affordability >AN ENHANCED TIME SYNCHRONOUS AVERAGING FOR ROTATING EQUIPMENT ANALYSIS
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AN ENHANCED TIME SYNCHRONOUS AVERAGING FOR ROTATING EQUIPMENT ANALYSIS

机译：旋转设备分析的增强时间同步平均

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摘要

The Time Synchronous Average (TSA) facilitates improved analysis of shaft and gear components on rotating equipment. The TSA, by resampling vibration data synchronously with shaft rotational position, removes the effect of shaft speed variation. Current TSA algorithms use linear or spline interpolation in resampling the vibration data relative to shaft position. This assumes that the derivative of the shaft speed does not change sign (linear) or only changes sign once (spline). This assumption fails to control a 3/revolution change in shaft speed of a wind turbine main shaft (due to tower shadow). Additionally, low rates of the main shaft resulted in excessively long TSA lengths that greatly impact the processing speed and numerical accuracies. This paper presents an enhanced TSA that controls for intra-revolution changes in shaft speed and allows for "in-line" filtering and decimation of vibration data to reduced the length of the TSA.
机译：时间同步平均（TSA）有助于改进旋转设备上的轴和齿轮组件的分析。通过与轴旋转位置同步重新采样振动数据，TSA消除了轴速度变化的影响。当前的TSA算法使用线性或样条插值来相对于轴位置重新采样振动数据。这假定轴速度的导数不更改符号（线性）或仅更改符号一次（样条）。该假设不能控制风力涡轮机主轴的轴速度的3 /转变化（由于塔影）。此外，主轴的低转速会导致TSA长度过长，从而极大地影响加工速度和数值精度。本文介绍了一种增强的TSA，该TSA可控制轴转速的内部革命变化，并允许“在线”过滤和抽取振动数据以减少TSA的长度。

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