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    • 16. 发明申请
    • ROTOR SYSTEM STRUCTURAL FAULT ESTIMATION
    • 转子系统结构故障估计
    • US20170073064A1
    • 2017-03-16
    • US15309361
    • 2015-03-05
    • SIKORSKY AIRCRAFT CORPORATION
    • Joshua D. Isom
    • B64C27/00G07C5/08G05B23/02G01L5/13
    • B64C27/006G01L5/0009G01L5/133G01M5/0016G01M5/0041G05B23/0221G05B23/0224G07C5/085
    • One aspect is a structural fault estimation system for a rotor system. The structural fault estimation system includes a plurality of sensors operable to provide a plurality of measured rotor loads and motion of the rotor system. A rotor loads and motion estimator is operable to produce a plurality of estimated rotor loads and motion for the rotor system. A rotor fault estimator is operable to determine residual rotor loads and motion as a difference between the measured rotor loads and motion and the estimated rotor loads and motion, and estimate fault magnitudes for the rotor system using least squares relative to fault models and the residual rotor loads and motion. The structural fault estimation system can perform structural fault estimation in real-time on an aircraft while in operation.
    • 一个方面是用于转子系统的结构故障估计系统。 结构故障估计系统包括可操作以提供多个测量的转子负载和转子系统的运动的多个传感器。 转子负载和运动估计器可操作以产生用于转子系统的多个估计的转子负载和运动。 转子故障估计器可操作以将剩余转子负载和运动确定为测量的转子负载与运动与估计的转子负载和运动之间的差值,并且使用相对于故障模型的最小二乘法和剩余转子来估计转子系统的故障幅度 负载和运动。 结构故障估计系统可以在飞机上实时执行结构故障估计。
    • 17. 发明申请
    • DEVICES AND METHODS FOR EARLY PREDICTION OF IMPENDING INSTABILITIES OF A SYSTEM
    • 早期预测系统不稳定性的设备和方法
    • US20170051683A1
    • 2017-02-23
    • US15308078
    • 2015-04-27
    • INDIAN INSTITUTE OF TECHNOLOGY MADRAS
    • Meenatchidevi MURUGESANVishnu R UNNIVineeth NAIR VINODSujith RAMAN PILLAI INDUSEKHARAN NAIR
    • F02C9/48G05B23/02
    • F02C9/48F23M11/04F23N5/203F23N5/242F23R2900/00013G05B23/0221Y02T50/677
    • The invention includes a method for predicting the operational state of equipment with turbulent flow characterized by time series data relating to its operation. The invention further includes a system and method for predicting the onset of an impending oscillatory instability. Further, the invention includes a system and method for identifying an impending absorbing transition such as flame blowout in combustion systems. A variable representing the dynamics of operation is measured with the help of a sensor, to obtain time series data. A complex network is then derived from the measured time series data. Network properties are then calculated using the complex network to identify the state of stability relating to operation of the equipment. The stability information may include one of thermoacoustic instability, aero-elastic instability such as flutter, flow-induced vibration, magneto-hydrodynamic, aerodynamic, aeromechanical, aero-acoustic instability or onset of flame blowout of a combustor.
    • 本发明包括一种用于预测具有湍流的设备的操作状态的方法,其特征在于与其操作有关的时间序列数据。 本发明还包括用于预测即将发生的振荡不稳定性的发生的系统和方法。 此外,本发明还包括用于识别即将到来的吸收转变的系统和方法,例如燃烧系统中的火焰喷出。 在传感器的帮助下测量表示操作动力学的变量,以获得时间序列数据。 然后从测量的时间序列数据中导出复杂网络。 然后使用复杂网络计算网络属性,以确定与设备操作相关的稳定性状态。 稳定性信息可以包括热声不稳定性,气动弹性不稳定性,例如颤动,流动振动,磁流体动力学,空气动力学,空气机械,空气声学不稳定性或燃烧器的火焰喷出的开始。
    • 20. 发明授权
    • Non-intrusive sensor system
    • 非侵入式传感器系统
    • US09528914B2
    • 2016-12-27
    • US14039957
    • 2013-09-27
    • ROSEMOUNT, INC.
    • Mark Stephen Schumacher
    • G01M99/00G05B17/02G05B19/418G05B23/02
    • G01M99/00G05B17/02G05B23/0221G05B2219/37537Y02P90/18
    • A non-intrusive sensor system includes an array of sensors disposed in a process to measure various input process phenomena and a logic unit that analyses the sensor measurements using an empirical model to produce an estimate of a further process phenomenon not measured directly by any of the array of sensors. The sensors within the array of sensors may be non-intrusive sensors that measure input process phenomena in an intrusive or non-intrusive manner but are non-intrusive with respect to the output process phenomenon as none of these sensors comes into direct contact with the process fluid or process element exhibiting the output process phenomenon. The sensors within the array of sensors can be any type of sensors that produce a measurement of a particular process phenomenon at the same or at different locations within a process.
    • 非侵入式传感器系统包括设置在测量各种输入过程现象的过程中的传感器阵列和使用经验模型分析传感器测量的逻辑单元,以产生不直接由任何 传感器阵列 传感器阵列内的传感器可以是非侵入式传感器,其以侵入式或非侵入式的方式测量输入过程现象,但相对于输出过程现象是非侵入性的,因为这些传感器没有直接与过程接触 表现出输出过程现象的流体或过程元件。 传感器阵列内的传感器可以是任何类型的传感器,其可以在过程中的相同或不同位置产生特定过程现象的测量。