Knowing the instantaneous angular speed (IAS) is crucial for monitoring the condition of variable speed rotating machinery. Thanks to advantages such as cost-saving, simplicity, and reduced installation difficulties, tacholess speed estimation (TSE) methods, based on the vibration signal itself, have attracted increasing attention in recent years. The major problem limiting the use of TSE methods in industry is that the accuracy of the IAS estimates is usually unknown. A less accurate IAS estimate implies errors in the extracted phase-time map. When this map is used for order tracking, it leads to a smeared order spectrum, thereby affecting subsequent vibration analysis. However, how the smearing of the order spectrum, introduced by phase modulation from the IAS error, can be used to further improve the accuracy of the estimated IAS has not been fully studied. This study first investigates the influence of the IAS error on the order tracked signal. It is realized that the instantaneous error of an estimated IAS can be estimated from the order tracked vibration signal. The estimated IAS can therefore be calibrated iteratively using the estimated instantaneous error in the IAS. The proposed method for iteratively improving accuracy of the estimated IAS based on the estimated instantaneous IAS error is validated using industrial data from wind turbines. While the method does add significant computational complexity, little additional human input is required beyond that of established methods. The results show the effectiveness of the method in producing IAS estimates that are several times more accurate than those given by existing methods.

中文翻译：

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使用瞬时误差估计对变速机器状态监测进行无转速估计的迭代改进


了解瞬时角速度 (IAS) 对于监测变速旋转机械的状况至关重要。基于振动信号本身的无测速速度估计（TSE）方法由于节省成本、简单、安装难度低等优点，近年来引起了越来越多的关注。限制 TSE 方法在工业中使用的主要问题是 IAS 估计的准确性通常未知。不太准确的 IAS 估计意味着提取的相位时间图存在错误。当该图用于阶次跟踪时，会导致阶次谱模糊，从而影响后续的振动分析。然而，如何利用 IAS 误差相位调制引入的阶次频谱拖尾来进一步提高估计 IAS 的精度尚未得到充分研究。本研究首先研究了 IAS 误差对阶次跟踪信号的影响。认识到可以根据阶次跟踪振动信号来估计估计IAS的瞬时误差。因此，可以使用 IAS 中估计的瞬时误差迭代地校准估计的 IAS。使用风力涡轮机的工业数据验证了所提出的基于估计瞬时 IAS 误差迭代提高估计 IAS 精度的方法。虽然该方法确实增加了显着的计算复杂性，但除了已建立的方法之外，几乎不需要额外的人工输入。结果表明，该方法在产生 IAS 估计方面的有效性，比现有方法给出的估计准确数倍。