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1. 发明申请

US20080201104A1 Monitoring a degrading system 有权
标题翻译：监控降级系统
公开(公告)号：US20080201104A1
公开(公告)日：2008-08-21
申请号：US12076852
申请日：2008-03-24
申请人： Andreas Poncet , Konrad Stadler , Thomas Von Hoff
发明人： Andreas Poncet , Konrad Stadler , Thomas Von Hoff
IPC分类号： G06F17/18 , G06F15/00
CPC分类号： G05B23/0229 , G05B23/0278 , G05B23/0283
摘要： The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated. In a third step, the calculated fault probabilities are displayed and transmitted to a planning system for scheduling of gas turbine operation or maintenance actions.
摘要翻译：本公开涉及对诸如工业燃气轮机之类的缓慢降解系统的故障起源的识别。在一些参数值的初始输入之后，示例性过程包括在燃气轮机的操作期间周期性重复的多个步骤。首先，对于每个潜在故障，例如计算压缩机叶片的污染，涡轮机叶片的腐蚀或机器部件的腐蚀，预应力故障概率，所考虑的特定燃气轮机的特性以及症状条件故障概率。在第二步中，加载来自监视设备的在线数据，以便更新关于症状的信息，例如，计算多变性效率和流量减少，振动频谱变化或其他机器状况指标，以及症状后故障概率。在第三步中，计算出的故障概率被显示并传送到用于调度燃气轮机操作或维护动作的规划系统。

2. 发明授权

US08280647B2 Method and system for monitoring process states of an internal combustion engine 失效
标题翻译：用于监测内燃机过程状态的方法和系统
公开(公告)号：US08280647B2
公开(公告)日：2012-10-02
申请号：US12480411
申请日：2009-06-08
申请人： Konrad Stadler , Andreas Poncet , Thomas Von Hoff
发明人： Konrad Stadler , Andreas Poncet , Thomas Von Hoff
IPC分类号： G01B3/00
CPC分类号： F02C9/00 , F01D17/08 , F02C7/057 , F02D41/0007 , F02D41/1445 , F02D41/1446 , F02D41/1447 , F02D41/1497 , F02D41/18 , F02D2200/1004 , F05D2260/80 , F05D2270/303 , Y02T10/144
摘要： For monitoring (unmeasured) process states of a rotating machine having a combustion chamber (e.g. a gas turbine), compositions of educts entering the combustion chamber are measured. Based on the compositions of the educts, the composition of the product produced by the combustion chamber can be determined. Moreover, the mechanical power (Pmech) generated by the rotating machine can be determined. Based on the mechanical power (Pmech), the composition of the educts and product, and stoichiometric relationships of educts and product, the values of process states, such as the air mass flow (wa) through the compressor leading into the combustion chamber and/or the gas mass flow (wg), the composition and/or the temperature (T3) of exhaust gas exiting the combustion chamber can be determined. Based on precise measurements of the educt (e.g. the composition of air and fuel in the combustion process), the product (i.e. the composition of the exhaust gas and its temperature) is derived and, without the need of an iterative or recursive method, the turbine inlet temperature (T3) can be monitored and controlled.
摘要翻译：对于具有燃烧室（例如，燃气轮机）的旋转机器的监测（未测量）过程状态，测量进入燃烧室的离析物的组成。基于离析物的组成，可以确定由燃烧室产生的产物的组成。此外，可以确定由旋转机器产生的机械功率（Pmech）。基于机械功率（Pmech），离析物和产物的组成以及离子和产物的化学计量关系，通过经过通向燃烧室的压缩机的空气质量流量（wa）和/ 或气体质量流量（wg），可以确定离开燃烧室的废气的组成和/或温度（T3）。基于对流出物的精确测量（例如燃烧过程中的空气和燃料的组成），导出产物（即废气的组成及其温度），并且不需要迭代或递归方法涡轮进口温度（T3）可以被监测和控制。

3. 发明申请

US20110160980A1 ESTIMATING HEALTH PARAMETERS OR SYMPTOMS OF A DEGRADING SYSTEM 有权
标题翻译：评估降解系统的健康参数或症状
公开(公告)号：US20110160980A1
公开(公告)日：2011-06-30
申请号：US12987654
申请日：2011-01-10
申请人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
发明人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
IPC分类号： G01M15/14 , G01M15/00
CPC分类号： G05B23/0254
摘要： The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k−1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalised process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.
摘要翻译：本发明涉及代表慢性降解系统特别是工业燃气轮机的症状的健康参数p（k）的估计。根据本发明，在时间步骤k对真健康或独立参数矢量的估计使用在先前时间步骤k-1处的真实健康或参数矢量的估计作为生成预测健康参数矢量的起始值在时间步骤k。基于后者和系统的扩展模型的输入变量的一组测量值，产生了模型的输出变量的预测。将该预测模型输出与输出变量的测量值进行比较以产生误差。从该错误中，健康参数估计器又产生健康参数估计值作为预测健康参数的修订。优选地，在时间步骤k对真实健康或独立参数向量的估计包括表示随机不确定性的概括过程噪声和/或健康参数演化的先验知识。

4. 发明授权

US08050843B2 Estimating health parameters or symptoms of a degrading system 有权
标题翻译：评估降解系统的健康参数或症状
公开(公告)号：US08050843B2
公开(公告)日：2011-11-01
申请号：US12987654
申请日：2011-01-10
申请人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
发明人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
IPC分类号： G06F19/00
CPC分类号： G05B23/0254
摘要： The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k−1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalised process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.
摘要翻译：本发明涉及代表慢性降解系统特别是工业燃气轮机的症状的健康参数p（k）的估计。根据本发明，在时间步骤k对真健康或独立参数矢量的估计使用在先前时间步骤k-1处的真实健康或参数矢量的估计作为生成预测健康参数矢量的起始值在时间步骤k。基于后者和系统的扩展模型的输入变量的一组测量值，产生了模型的输出变量的预测。将该预测模型输出与输出变量的测量值进行比较以产生误差。从该错误中，健康参数估计器又产生健康参数估计值作为预测健康参数的修订。优选地，在时间步骤k对真实健康或独立参数向量的估计包括表示随机不确定性的概括过程噪声和/或健康参数演化的先验知识。

5. 发明授权

US08000930B2 Monitoring a degrading system 有权
标题翻译：监控降级系统
公开(公告)号：US08000930B2
公开(公告)日：2011-08-16
申请号：US12076852
申请日：2008-03-24
申请人： Andreas Poncet , Konrad Stadler , Thomas Von Hoff
发明人： Andreas Poncet , Konrad Stadler , Thomas Von Hoff
IPC分类号： G06F17/18 , G06F19/00 , G06F11/30 , G06F17/40 , G21C17/00
CPC分类号： G05B23/0229 , G05B23/0278 , G05B23/0283
摘要： The present disclosure is concerned with the identification of fault origins of slowly degrading systems such as industrial gas turbines. Following the initial input of some parameter values, exemplary procedure comprises a number of steps which are repeated periodically during the operation of the gas turbine. First, for each potential fault such as e.g. a contamination of compressor blades, erosion of turbine blades or corrosion of machine parts, a pre-symptom fault probability, characteristic of the specific gas turbine considered, and a symptom-conditional fault probability are calculated. In a second step, on-line data from the monitoring devices are loaded in order to update information about symptoms such as e.g. reductions in polytropic efficiency and in flow capacity, changes in vibration spectrum, or other machine condition indicators, and a post-symptom fault probability is calculated. In a third step, the calculated fault probabilities are displayed and transmitted to a planning system for scheduling of gas turbine operation or maintenance actions.
摘要翻译：本公开涉及对诸如工业燃气轮机之类的缓慢降解系统的故障起源的识别。在一些参数值的初始输入之后，示例性过程包括在燃气轮机的操作期间周期性重复的多个步骤。首先，对于每个潜在故障，例如计算压缩机叶片的污染，涡轮机叶片的腐蚀或机器部件的腐蚀，预应力故障概率，所考虑的特定燃气轮机的特性以及症状条件故障概率。在第二步中，加载来自监视设备的在线数据，以便更新关于症状的信息，例如，计算多变性效率和流量减少，振动频谱变化或其他机器状况指标，以及症状后故障概率。在第三步中，计算出的故障概率被显示并传送到用于调度燃气轮机操作或维护动作的规划系统。

6. 发明授权

US07869928B2 Estimating health parameters or symptoms of a degrading system 有权
标题翻译：评估降解系统的健康参数或症状
公开(公告)号：US07869928B2
公开(公告)日：2011-01-11
申请号：US11386738
申请日：2006-03-23
申请人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
发明人： Thomas von Hoff , Andreas Poncet , Konrad Stadler
IPC分类号： G06F19/00
CPC分类号： G05B23/0254
摘要： The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k−1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalized process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.
摘要翻译：本发明涉及代表慢性降解系统特别是工业燃气轮机的症状的健康参数p（k）的估计。根据本发明，在时间步骤k对真健康或独立参数矢量的估计使用在先前时间步骤k-1处的真实健康或参数矢量的估计作为生成预测健康参数矢量的起始值在时间步骤k。基于后者和系统的扩展模型的输入变量的一组测量值，产生了模型的输出变量的预测。将该预测模型输出与输出变量的测量值进行比较以产生误差。从该错误中，健康参数估计器又产生健康参数估计值作为预测健康参数的修订。优选地，在时间步骤k对真实健康或独立参数向量的估计包括表示随机不确定性的概括过程噪声和/或健康参数演化的先验知识。

7. 发明申请

US20090281737A1 METHOD AND SYSTEM FOR MONITORING PROCESS STATES OF AN INTERNAL COMBUSTION ENGINE 失效
标题翻译：用于监测内燃机过程状态的方法和系统
公开(公告)号：US20090281737A1
公开(公告)日：2009-11-12
申请号：US12480411
申请日：2009-06-08
申请人： Konrad STADLER , Andreas Poncet , Thomas Von Hoff
发明人： Konrad STADLER , Andreas Poncet , Thomas Von Hoff
IPC分类号： G01B3/44
CPC分类号： F02C9/00 , F01D17/08 , F02C7/057 , F02D41/0007 , F02D41/1445 , F02D41/1446 , F02D41/1447 , F02D41/1497 , F02D41/18 , F02D2200/1004 , F05D2260/80 , F05D2270/303 , Y02T10/144
摘要： For monitoring (unmeasured) process states of a rotating machine having a combustion chamber (e.g. a gas turbine), compositions of educts entering the combustion chamber are measured. Based on the compositions of the educts, the composition of the product produced by the combustion chamber can be determined. Moreover, the mechanical power (Pmech) generated by the rotating machine can be determined. Based on the mechanical power (Pmech), the composition of the educts and product, and stoichiometric relationships of educts and product, the values of process states, such as the air mass flow (wa) through the compressor leading into the combustion chamber and/or the gas mass flow (wg), the composition and/or the temperature (T3) of exhaust gas exiting the combustion chamber can be determined. Based on precise measurements of the educt (e.g. the composition of air and fuel in the combustion process), the product (i.e. the composition of the exhaust gas and its temperature) is derived and, without the need of an iterative or recursive method, the turbine inlet temperature (T3) can be monitored and controlled.
摘要翻译：对于具有燃烧室（例如，燃气轮机）的旋转机器的监测（未测量）过程状态，测量进入燃烧室的离析物的组成。基于离析物的组成，可以确定由燃烧室产生的产物的组成。此外，可以确定由旋转机器产生的机械功率（Pmech）。基于机械功率（Pmech），离析物和产物的组成以及离子和产物的化学计量关系，通过经过通向燃烧室的压缩机的空气质量流量（wa）和/ 或气体质量流量（wg），可以确定离开燃烧室的废气的组成和/或温度（T3）。基于对流出物的精确测量（例如燃烧过程中的空气和燃料的组成），导出产物（即废气的组成及其温度），并且不需要迭代或递归方法涡轮进口温度（T3）可以被监测和控制。

8. 发明申请

US20060217870A1 Estimating health parameters or symptoms of a degrading system 有权
标题翻译：评估降解系统的健康参数或症状
公开(公告)号：US20060217870A1
公开(公告)日：2006-09-28
申请号：US11386738
申请日：2006-03-23
申请人： Thomas Hoff , Andreas Poncet , Konrad Stadler
发明人： Thomas Hoff , Andreas Poncet , Konrad Stadler
IPC分类号： G06F19/00
CPC分类号： G05B23/0254
摘要： The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k−1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalised process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.
摘要翻译：本发明涉及代表慢性降解系统特别是工业燃气轮机的症状的健康参数p（k）的估计。根据本发明，在时间步骤k对真健康或独立参数矢量的估计使用在先前时间步骤k-1处的真实健康或参数矢量的估计作为生成预测健康参数矢量的起始值在时间步骤k。基于后者和系统的扩展模型的输入变量的一组测量值，产生了模型的输出变量的预测。将该预测模型输出与输出变量的测量值进行比较以产生误差。从该错误中，健康参数估计器又产生健康参数估计值作为预测健康参数的修订。优选地，在时间步骤k对真实健康或独立参数向量的估计包括表示随机不确定性的概括过程噪声和/或健康参数演化的先验知识。

9. 发明授权

US06801810B1 Method and device for state estimation 失效
标题翻译：状态估计的方法和装置
公开(公告)号：US06801810B1
公开(公告)日：2004-10-05
申请号：US09563205
申请日：2000-05-02
申请人： Andreas Poncet
发明人： Andreas Poncet
IPC分类号： G05B1101
CPC分类号： G05B13/04
摘要： A method for estimating a state of a system including determining, during a current cycle of the system, an estimated state of the system based on currently measured values of the system, boundary conditions of the system, an accuracy of the currently measured values, and an estimated state from a preceding cycle. The method also determines an accuracy of the estimated state, and determines an uncertainty of the estimated state based on the estimated state and the accuracy of the estimated state.
摘要翻译：一种用于估计系统的状态的方法，包括在系统的当前周期期间，基于系统的当前测量值，系统的边界条件，当前测量值的精度以及来自前一周期的估计状态。该方法还确定估计状态的精度，并且基于估计状态和估计状态的精度来确定估计状态的不确定性。

10. 发明申请

US20070088447A1 Scheduling of industrial production processes 审中-公开
标题翻译：工业生产流程的安排
公开(公告)号：US20070088447A1
公开(公告)日：2007-04-19
申请号：US11586713
申请日：2006-10-26
申请人： Alec Stothert , Andreas Poncet
发明人： Alec Stothert , Andreas Poncet
IPC分类号： G05B13/02
CPC分类号： G05B13/04 , Y02E20/16
摘要： A rescheduling problem can be reformulated as a multi-parametric (mp-QP) optimization problem which can be solved explicitly. The subsequent exploitation of this algebraic solution is computationally inexpensive.
摘要翻译：重新排列的问题可以重新定义为可以明确解决的多参数（mp-QP）优化问题。这种代数解的后续开发在计算上是廉价的。

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