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    • 2. 发明申请
    • MONITORING A SYSTEM HAVING DEGRADING COMPONENTS
    • 监测具有降级组件的系统
    • WO2007033512A1
    • 2007-03-29
    • PCT/CH2006/000509
    • 2006-09-20
    • ABB RESEARCH LTDPONCET, AndreasSTADLER, KonradVON HOFF, Thomas
    • PONCET, AndreasSTADLER, KonradVON HOFF, Thomas
    • G05B23/02
    • G05B23/0229G05B23/0278G05B23/0283
    • The present invention 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, the inventive 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.
    • 本发明涉及对工业燃气轮机等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,本发明的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,预处理故障概率,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。
    • 5. 发明申请
    • ESTIMATING INITIAL STATES OF A SYSTEM MODEL FOR CONTROLLING AN INDUSTRIAL PROCESS
    • 估算控制工业过程的系统模型的初始状态
    • WO2010149444A1
    • 2010-12-29
    • PCT/EP2010/057148
    • 2010-05-25
    • ABB Research LtdGALLESTEY ALVAREZ, EduardoPOLAND, JanSTADLER, KonradGAULOCHER, SebastianFOROUSH, Hamed Shisheh
    • GALLESTEY ALVAREZ, EduardoPOLAND, JanSTADLER, KonradGAULOCHER, SebastianFOROUSH, Hamed Shisheh
    • G05B13/04G05B17/02
    • G05B13/042B03D1/028G05B13/041G05B17/02G06F17/50
    • According to the present invention, model-based control of industrial processes is promoted by using a merged MLD system model for both the estimation and subsequent control of the industrial process, thus simplifying and expediting the set- up of model based control together with accurate estimation of initial states. In particular, an optimization of an objective function is performed, wherein the objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the industrial process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for the subsequent control of the industrial process in a model-based manner including the very same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the industrial process, and may thus be elaborated by a commissioning engineer during a customization step on a plant site, and hence at a comparably late moment during plant execution.
    • 根据本发明,通过对工业过程的估计和后续控制使用合并的MLD系统模型来促进工业过程的基于模型的控制,从而简化并加速基于模型的控制的建立以及精确的估计 的初始状态。 特别地,执行目标函数的优化,其中目标函数包括工业过程的混合逻辑动态(MLD)系统模型的观测量与输出变量之间的差。 MLD系统模型的状态变量的优化在过去的许多时间步长中进行,并受到MLD系统模型动力学约束的限制。 状态变量的优化值作为估计的初始状态保留为工业过程的后续控制,以基于模型的方式包括非常相同的MLD系统模型。 单个MLD系统模型是代表工业过程的子过程的单个MLD子系统模型的组合或合并,并且可以由调试工程师在工厂现场的定制步骤中进行阐述,因此在相对较迟的时刻 在工厂执行期间。
    • 6. 发明申请
    • METHOD AND SYSTEM FOR CONTROLLING AN INDUSTRIAL PROCESS
    • 控制工业过程的方法和系统
    • WO2010034682A1
    • 2010-04-01
    • PCT/EP2009/062175
    • 2009-09-21
    • ABB RESEARCH LTDSTADLER, KonradGALLESTEY ALVAREZ, EduardoPOLAND, Jan
    • STADLER, KonradGALLESTEY ALVAREZ, EduardoPOLAND, Jan
    • G05B13/04
    • G05B13/0275G05B13/04
    • A control system (4) for controlling an industrial process (42), comprises an indicator generator (43) configured to determine at least one fuzzy logic based indicator (z) from the measured process variables (y). The control system (4) further comprises a state estimator (44) configured to determine estimated physical process states ( x ) based on the fuzzy indicator (z). For controlling the industrial process (42), the process controller (41) is configured to calculate manipulated variables (u) based on defined set-points (r) and based on a physical model of the process (42) using the estimated physical process states (x ). Combining a fuzzy logic indicator (z) with a model based process controller (41) makes it possible to provide robust indicators of the process states ( x ) for controlling an industrial process (42) in a real plant situation measured process variables (y) possibly contradict each other.
    • 用于控制工业过程(42)的控制系统(4)包括指示器发生器(43),其被配置为根据测量的过程变量(y)确定至少一个基于模糊逻辑的指示符(z)。 控制系统(4)还包括状态估计器(44),其被配置为基于模糊指示符(z)来确定估计的物理过程状态(x)。 为了控制工业过程(42),过程控制器(41)被配置为基于所定义的设定点(r)并且使用所估计的物理过程基于过程(42)的物理模型计算操纵变量(u) 州(x)。 将模糊逻辑指示符(z)与基于模型的过程控制器(41)组合使得可以提供用于在实际工厂情况下控制工业过程(42)的鲁棒指示器(x),用于测量过程变量(y) 可能相互矛盾。