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1. 发明授权

US07043348B2 Transient fault detection system and method 失效
标题翻译：瞬态故障检测系统及方法
公开(公告)号：US07043348B2
公开(公告)日：2006-05-09
申请号：US10379413
申请日：2003-03-03
申请人： Onder Uluyol , Sunil K. Menon , Emmanuel O. Nwadiogbu , Kyusung Kim
发明人： Onder Uluyol , Sunil K. Menon , Emmanuel O. Nwadiogbu , Kyusung Kim
IPC分类号： G06F19/00
CPC分类号： F02C9/00 , Y10T477/40
摘要： A transient fault detection system and method is provided that facilitates improved fault detection performance in transient conditions. The transient fault detection system provides the ability to detect symptoms of fault in engine that occur in transient conditions. The transient fault detection system includes a feature extractor that measures sensor data during transient conditions and extracts salient features from the measured sensor data. The extracted salient features are passed to a classifier that analyzes the extracted salient features to determine if a fault has occurred during the transient conditions. Detected faults can then be passed to a diagnostic system where they can be passed as appropriate to maintenance personnel.
摘要翻译：提供了一种瞬态故障检测系统和方法，有助于改善瞬态条件下的故障检测性能。瞬态故障检测系统提供在瞬态条件下检测发动机故障症状的能力。瞬态故障检测系统包括特征提取器，其在瞬态条件下测量传感器数据，并从测量的传感器数据中提取突出特征。提取的突出特征被传递到分类器，其分析提取的突出特征以确定在瞬态条件下是否发生故障。检测到的故障然后可以传递到诊断系统，在那里它们可以适当地传递给维护人员。

2. 发明授权

US07254491B2 Clustering system and method for blade erosion detection 有权
标题翻译：叶片侵蚀检测的聚类系统和方法
公开(公告)号：US07254491B2
公开(公告)日：2007-08-07
申请号：US10879883
申请日：2004-06-28
申请人： Dinkar Mylaraswamy , Emmanuel O. Nwadiogbu , Mohamad Hanif Y. Vhora
发明人： Dinkar Mylaraswamy , Emmanuel O. Nwadiogbu , Mohamad Hanif Y. Vhora
IPC分类号： G06F19/00
CPC分类号： F01D17/085 , F01D21/00 , F05D2260/80 , F05D2270/11
摘要： A system and method for detecting erosion in turbine engine blades is provided. The blade erosion detection system includes a sensor data processor and a cluster analysis mechanism. The sensor data processor receives engine sensor data, including exhaust gas temperature (EGT) data, and augments the sensor data to determine sensor data residual values and the rate of change of the sensor data residual values. The augmented sensor data is passed to the cluster analysis mechanism. The cluster analysis mechanism analyzes the augmented sensor data to determine the likelihood that compressor blade erosion has occurred. Specifically, the cluster analysis mechanism performs a 2-tuple cluster feature analysis using Gaussian density functions that provide approximations of normal and eroded blades in a turbine engine. The 2-tuple cluster feature analysis thus provides the probability that the sensor data indicates erosion has occurred in the turbine engine.
摘要翻译：提供了一种用于检测涡轮发动机叶片中的侵蚀的系统和方法。叶片侵蚀检测系统包括传感器数据处理器和聚类分析机制。传感器数据处理器接收包括排气温度（EGT）数据在内的发动机传感器数据，并增加传感器数据，以确定传感器数据残差值和传感器数据残差值的变化率。增强的传感器数据被传递到聚类分析机制。聚类分析机制分析增强的传感器数据，以确定压缩机叶片侵蚀发生的可能性。具体地说，聚类分析机制使用高斯密度函数来执行2元组聚类特征分析，其提供涡轮发动机中正常和侵蚀的叶片的近似值。因此，2元组聚类特征分析提供了传感器数据表明在涡轮发动机中发生了侵蚀的概率。

3. 发明授权

US07734400B2 Fault detection system and method using augmented data and fuzzy logic 有权
标题翻译：故障检测系统和使用增强数据和模糊逻辑的方法
公开(公告)号：US07734400B2
公开(公告)日：2010-06-08
申请号：US10628085
申请日：2003-07-24
申请人： Dennice F. Gayme , Sunil K. Menon , Emmanuel O. Nwadiogbu , Dale W. Mukavetz , Charles M. Ball
发明人： Dennice F. Gayme , Sunil K. Menon , Emmanuel O. Nwadiogbu , Dale W. Mukavetz , Charles M. Ball
IPC分类号： G06F19/00
CPC分类号： G06N5/048
摘要： A system and method that provides improved fault detection in turbine engines is disclosed. The fault detection system provides the ability to detect symptoms of engine faults based on a relatively limited number of engine parameters that are sampled relatively infrequently. The fault detection system includes a sensor data processor that receives engine sensor data during operation and augments the sensor data. The augmented data set is passed to a fuzzy logic inference system that determines the likelihood that a fault has occurred. The inference system output can then be passed to a diagnostic system where evaluation of the output may yield a detailed diagnostic result and a prediction horizon.
摘要翻译：公开了一种在涡轮发动机中提供改进的故障检测的系统和方法。故障检测系统提供了基于相对不频繁采样的相对有限数量的发动机参数来检测发动机故障的症状的能力。故障检测系统包括传感器数据处理器，其在操作期间接收发动机传感器数据并增加传感器数据。增加的数据集被传递到确定故障发生的可能性的模糊逻辑推理系统。然后，推理系统输出可以传递到诊断系统，其中输出的评估可以产生详细的诊断结果和预测范围。

4. 发明授权

US07552005B2 Method for fault diagnosis of a turbine engine 有权
标题翻译：涡轮发动机故障诊断方法
公开(公告)号：US07552005B2
公开(公告)日：2009-06-23
申请号：US10802151
申请日：2004-03-16
申请人： Kyusung Kim , Charles M. Ball , Emmanuel O. Nwadiogbu
发明人： Kyusung Kim , Charles M. Ball , Emmanuel O. Nwadiogbu
IPC分类号： G06F17/00 , G06F7/00 , G01M17/00 , B60Q1/00 , H02P25/00
CPC分类号： G05B23/024
摘要： A method of diagnosing a turbine engine includes the steps of acquiring engine operating parameters; calculating corresponding engine residual values; computing the mean and the standard deviation of each engine residual value; normalizing dynamically each engine residual value to yield normalized engine residuals; mapping, via a cluster technique mapping, the normalized engine residuals as input vectors into an engine condition space having clusters representing either normal vector engine conditions or faulty vector engine conditions; and identifying a closest cluster within the engine condition space to determine whether the engine under analysis is normal or faulty. A belief factor may be obtained as a function of the distances between the input vectors and specific clusters.
摘要翻译：一种诊断涡轮发动机的方法包括获取发动机运转参数的步骤; 计算相应的发动机残值; 计算每个发动机残值的平均值和标准偏差; 动态地规范每个发动机残值以产生归一化的发动机残余物; 通过集群技术映射将归一化的引擎残差作为输入向量映射到具有表示法向量引擎条件或故障向量引擎条件的簇的引擎条件空间中; 并且在发动机状态空间内识别最接近的集群，以确定分析中的发动机是正常还是有故障的。可以根据输入向量和特定簇之间的距离获得置信因子。

5. 发明授权

US06868325B2 Transient fault detection system and method using Hidden Markov Models 有权
标题翻译：使用隐马尔科夫模型的瞬态故障检测系统和方法
公开(公告)号：US06868325B2
公开(公告)日：2005-03-15
申请号：US10384182
申请日：2003-03-07
申请人： Sunil K. Menon , Emmanuel O. Nwadiogbu
发明人： Sunil K. Menon , Emmanuel O. Nwadiogbu
IPC分类号： F02C9/00 , G05B23/02 , G06F11/25 , G06F15/60
CPC分类号： F02C9/00 , G05B23/021 , G05B23/0254 , G06F11/2257
摘要： A transient fault detection system and method is provided that facilitates improved fault detection performance in transient conditions. The transient fault detection system provides the ability to detect symptoms of engine faults that occur in transient conditions. The transient fault detection system includes a Hidden Markov Model detector that receives sensor data during transient conditions and determines if a fault has occurred during the transient conditions. Detected faults can then be passed to a diagnostic, system where they can be passed as appropriate to maintenance personnel.
摘要翻译：提供了一种瞬态故障检测系统和方法，有助于改善瞬态条件下的故障检测性能。瞬态故障检测系统提供检测瞬态条件下发生的发动机故障症状的能力。瞬态故障检测系统包括隐马尔可夫模型检测器，其在瞬态条件下接收传感器数据，并确定在瞬态条件下是否发生故障。检测到的故障然后可以传递到诊断系统，在那里可以根据情况通过维修人员。

6. 发明授权

US06804600B1 Sensor error detection and compensation system and method 有权
标题翻译：传感器误差检测和补偿系统及方法
公开(公告)号：US06804600B1
公开(公告)日：2004-10-12
申请号：US10655674
申请日：2003-09-05
申请人： Onder Uluyol , Emmanuel O. Nwadiogbu
发明人： Onder Uluyol , Emmanuel O. Nwadiogbu
IPC分类号： G05B1302
CPC分类号： G05B9/02
摘要： A sensor error compensation system and method is provided that facilitates improved sensor error detection and compensation. The sensor error compensation system includes an expected value generator and a sensor fault detector. The expected value generator receives sensor data from a plurality of sensors in a turbine engine. From the sensor data, the expected value generator generates an expected sensor value for a sensor under test. The expected sensor value is passed to the sensor fault detector. The sensor fault detector compares the expected sensor value to a received sensor value to determine if a sensor error has occurred in the sensor under test. If an error has occurred, the error can be compensated for by generating a replacement sensor value to substitute for erroneous received sensor value.
摘要翻译：提供了一种传感器误差补偿系统和方法，有助于改进传感器误差检测和补偿。传感器误差补偿系统包括一个预期值发生器和一个传感器故障检测器。期望值发生器从涡轮发动机中的多个传感器接收传感器数据。根据传感器数据，期望值发生器产生测试传感器的预期传感器值。预期传感器值传递到传感器故障检测器。传感器故障检测器将预期传感器值与接收到的传感器值进行比较，以确定传感器中是否发生传感器错误。如果发生错误，则可以通过生成更换传感器值来替代错误的接收传感器值来补偿错误。

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