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1. 发明申请

US20170051683A1 DEVICES AND METHODS FOR EARLY PREDICTION OF IMPENDING INSTABILITIES OF A SYSTEM 审中-公开
标题翻译：早期预测系统不稳定性的设备和方法
公开(公告)号：US20170051683A1
公开(公告)日：2017-02-23
申请号：US15308078
申请日：2015-04-27
申请人： INDIAN INSTITUTE OF TECHNOLOGY MADRAS
发明人： Meenatchidevi MURUGESAN , Vishnu R UNNI , Vineeth NAIR VINOD , Sujith RAMAN PILLAI INDUSEKHARAN NAIR
IPC分类号： F02C9/48 , G05B23/02
CPC分类号： F02C9/48 , F23M11/04 , F23N5/203 , F23N5/242 , F23R2900/00013 , G05B23/0221 , Y02T50/677
摘要： 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.
摘要翻译：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。

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