公开(公告)号：US5258923A

公开(公告)日：1993-11-02

申请号：US076311

申请日：1987-07-22

申请人： Imdad Imam ,  Steven H. Azzaro ,  Raymond J. Bankert

发明人： Imdad Imam ,  Steven H. Azzaro ,  Raymond J. Bankert

IPC分类号： G01H1/00 ,  G01N29/12 ,  G01M7/00

CPC分类号： G01N29/12 ,  G01H1/003 ,  G01N2291/2693

摘要： System and method for detecting the occurrence, location and depth of a crack in the rotor of a turbine-generator. The location and depth of a crack are determined by monitoring the fundamental and histogram harmonic components of vibrations at certain predetermined points along the length of the rotor. The histogram harmonic components are normalized relative to the fundamental component, and the normalized histogram harmonic components are monitored to determine the location of the crack. The unnormalized histogram harmonic components are analyzed to determine the depth of the crack. The occurrence of a crack is detected by monitoring the amplitude and phase of rotor vibrations during an accel or decel operation to detect harmonic resonances which are characteristic of a crack in the rotor. The amplitude and phase data is filtered to eliminate spurious data, and it is interpolated to provide baseline and current data at matching speed points.

摘要翻译： 用于检测涡轮发电机转子中裂纹的发生，位置和深度的系统和方法。 裂纹的位置和深度通过监测沿着转子长度的某些预定点的振动的基本和直方图谐波分量来确定。 直方图谐波分量相对于基波分量进行归一化，并且监测归一化的直方图谐波分量以确定裂纹的位置。 分析非标准化直方图谐波分量以确定裂纹的深度。 通过在加速或减速操作期间监测转子振动的振幅和相位来检测裂纹的发生，以检测作为转子裂纹特征的谐波谐振。 过滤幅度和相位数据以消除杂散数据，并将其内插以在匹配的速度点提供基线和当前数据。

公开(公告)号：US5633800A

公开(公告)日：1997-05-27

申请号：US964168

申请日：1992-10-21

申请人： Raymond J. Bankert ,  Imdad Imam ,  Harindra Rajiyah

发明人： Raymond J. Bankert ,  Imdad Imam ,  Harindra Rajiyah

IPC分类号： G07C3/00 ,  G07C3/14

CPC分类号： G07C3/00 ,  Y10S706/92

摘要： A diagnostic system and method for rotating machinery having mechanical problems combine AI-based interpretive reasoning with rotordynamic-based modeling and numerical optimization. A vibration response in the machinery to be diagnosed is first measured by machine sensors, and this measured response is used in a rule-based expert system to determine a probable cause of the machinery's mechanical problem. An appropriate finite element analytical model of the machinery is generated based on the probable cause. An optimizer computes the predicted response from the analytical model and compares it with the measured response. The model is automatically refined, guided by the expert system and numerical optimization, to match the predicted response with the measured response. The modifications to the model necessary to duplicate the measured response of the defective machinery are then indicative of the defects.

摘要翻译： 具有机械问题的旋转机械的诊断系统和方法将基于AI的解释推理与基于旋转动力学的建模和数值优化相结合。 要诊断的机械中的振动响应首先由机器传感器测量，并且该测量响应在基于规则的专家系统中用于确定机械机械问题的可能原因。 基于可能的原因生成机械的适当的有限元分析模型。 优化器计算来自分析模型的预测响应并将其与测量响应进行比较。 该模型在专家系统和数值优化指导下自动细化，将预测响应与测量响应相匹配。 复制有缺陷机械的测量响应所需的模型的修改然后表示缺陷。