Analysis of computed order tracking
Analysis of computed order tracking
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DOI：
10.1006/mssp.1996.0056
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发表时间：
1997-03-01
影响因子：
8.4
通讯作者：
Munck, EDS
中科院分区：
文献类型：
--
作者：
Fyfe, KR;Munck, EDS
旋转机械的振动分析是工业预测性维护方案的重要组成部分，可以在机器发生故障之前发现和修复运动部件的磨损和缺陷，从而降低运行和维护成本。振动分析的一种方法被称为订单跟踪。这是一种频率分析方法，使用运行速度（阶数）的倍数，而不是绝对频率（Hz）作为频率基础。订单跟踪对于机器状态监测很有用，因为它可以很容易地识别与速度相关的振动，如轴缺陷和轴承磨损。为了使用阶次跟踪分析，振动信号必须以轴角的恒定增量进行采样。传统的订单跟踪数据采集使用特殊的模拟硬件以与轴速成比例的速率进行采样。计算顺序跟踪方法以恒定速率（即均匀δ t）采样，然后使用软件以恒定的角度增量对数据进行重新采样。本研究考察了哪些因素和假设，固有的计算顺序跟踪方法，对其准确性有最大的影响。采用数字仿真对经典方法和计算方法进行了评价和比较。结果表明，该方法对关键相量脉冲的时序精度非常敏感，并且在使用高阶插值函数时，光谱精度有很大的提高。(C) 1997学术出版社有限公司
Vibration analysis of rotating machinery is an important part of industrial predictive maintenance programmes, so that wear and defects in moving parts can be discovered and repaired before the machine breaks down, thus reducing operating and maintenance costs. One method of vibration analysis is known as order tracking. This is a frequency analysis method that uses multiples of the running speed (orders), instead of absolute frequencies (Hz), as the frequency base. Order tracking is useful for machine condition monitoring because it can easily identify speed-related vibrations such as shaft defects and bearing wear. To use order tracking analysis, the vibration signal must be sampled at constant increments of shaft angle. Conventional order tracking data acquisition uses special analog hardware to sample at a rate proportional to the shaft speed. A computed order tracking method samples at a constant rate (i.e. uniform Delta t), and then uses software to resample the data at constant angular increments. This study examines which factors and assumptions, inherent in this computed order tracking method, have the greatest effect on its accuracy. Both classical and computed methods were evaluated and compared using a digitial simulation. It was found that the method is extremely sensitive to the timing accuracy of the keyphasor pulses and that great improvements in the spectral accuracy were observed when making use of higher-order interpolation functions. (C) 1997 Academic Press Limited.