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Modeling and estimation of speed dependent bearing and coupling misalignment faults in a turbine generator system

机译：涡轮发电机系统中速度依赖性轴承和耦合错位故障的建模与估算

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摘要

Faulty machinery generates exaggerated vibration that leads to fatigue and catastrophic failure of critical components of machinery and even sometime worker's life. Hence, the fault free functioning of rotating machinery is the prime objective of many industries. The accurate modeling, thereafter estimation of critical components of any rotating machinery is the best way to achieve the fault free condition. The present research work involves with the development of an algorithm for multi-degrees of freedom turbine-generator system to evaluate speed-dependent bearings and coupling misalignment faults, numerically and experimentally. The modeling and simultaneous estimation of speed-dependent bearing and misalignment parameters in addition with speed independent unbalance parameters are the novelty of the present research. In theoretical analysis, finite element method is applied to derive equations of motion of the dynamic system. Least squares technique is used to evaluate the fault characteristic parameters of the turbine-generator system. To test the algorithm additive noise is added in the numerically generated response, and found the algorithm performs well even in the presence of noisy response. In experimental analysis, at randomly selected spin speeds, three sets of forced responses are captured at four bearing locations. These forced responses are imported into the developed algorithm and characteristic parameters are evaluated experimentally. The maximum standard deviation achieved in the quantification of parameters for three sets of data is 2.3 and 2.5 for 29 Hz and 31 Hz, respectively.
机译：机械故障产生夸大的振动，导致机械关键部件疲劳和灾难性失效，甚至有时工人的生活。因此，旋转机械的故障功能是许多行业的主要目标。准确建模，此后估计任何旋转机械的关键部件是实现无故障条件的最佳方法。目前的研究工作涉及开发用于多程度的自由度涡轮发电机系统，以评估速度依赖性轴承和耦合错位故障，在数值和实验上进行耦合。速度依赖性轴承和未对准参数的建模及同时估计除了速度独立的不平衡参数之外是本研究的新颖性。在理论分析中，应用有限元方法来衍生动态系统的运动方程。最小二乘技术用于评估涡轮发电机系统的故障特性参数。为了测试算法在数值生成的响应中添加了算法附加噪声，并且发现算法即使在存在嘈杂的响应时也表现良好。在实验分析中，在随机选择的旋转速度下，在四个轴承位置捕获三组强制响应。这些强制响应导入发达的算法，并通过实验评估特征参数。在三组数据的量化中实现的最大标准偏差分别为29Hz和31 Hz。

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