Fatigue crack growth prediction

Systems and methods for predicting fatigue crack growth are provided. In one example embodiment, a method can include obtaining historical operational data associated with one or more rotatable structures of one or more machines, obtaining data indicative of fatigue crack size for the one or more rotatable structures, and constructing a machine-learned model correlating fatigue crack growth with operational data using a machine learning technique. 提供了用于预测疲劳裂纹增长的系统和方法。在一个示例实施例中，一种方法可以包括获得与一个或多个机器的一个或多个可旋转结构相关联的历史操作数据，获得指示一个或多个可旋转结构的疲劳裂纹尺寸的数据，以及使用机器学习技术构建将疲劳裂纹增长与操作数据相关联的机器学习模型。