Abstract:
The invention relates to a method and apparatus for monitoring the condition of subsystems within a renewable generation plant or microgrid which are using Supervisory Control and Data Acquisition (SCAD A) systems for allowing plant operators to monitor and interact with a plant via human machine interfaces.
Abstract:
The subject of the invention is a method and an apparatus for identifying the most likely tooth numbers for all of the gears in a gearbox, on the basis of measured dynamic signals and the total ratio of the gearbox. A method uses a data obtained from a vibration measuring device delivered to a data acquisition device and a data delivered by a user to a computer device. The method has the step of processing data delivered by a user to the computer device, a step of calculating frequencies of characteristic features for each potential tooth combination for the first embodiment of the invention or of calculating frequencies of characteristic features for each potential tooth combination and a potential speed combination for the second embodiment of the invention, a step of measuring the vibration signals and an angular displacement signal of the gearbox or only measuring the vibration signals, relative to the embodiments of the invention, a step of calculating a frequency spectrum from the measured data, a step of determining an amplitude of components of the frequency spectrum, a step of determining the tooth numbers in the gearbox by identifying which potential gear tooth combination maximizes the amplitudes of the components of the frequency spectrum at frequencies of characteristic features or of determining the tooth numbers and an improved speed estimate by identifying which potential gear tooth and a potential speed combination maximizes the amplitudes of the components of the frequency spectrum at frequencies of characteristic feature and a step of presenting the tooth numbers in the gearbox in a computer device or presenting the tooth numbers in the gearbox and an improved speed estimate.
Abstract:
A method of automatic determination of a rotational speed of a shaft in a system powered by a reciprocating engine, comprises a data acquisition and measurement processes, performed in a computer device for acquiring and processing the data, wherein the step of measuring data comprises the measurement of a vibration signal x[n], where n is the length of the acquired signal, of the rotational shaft, further comprises the steps of: obtaining an instantaneous angle signal X iA [n] of the measured vibration signals x[n] given to a standard preprocessing actions for receiving a filtered vibration signal samples X F [n] and receiving an analytic signal Χ Α [n]; calculating an instantaneous frequency signal X iF [n] as the sample derivative of the instantaneous angle signal Χ iΑ [n] of the analytic signal Χ Α [n]; creating an impulses samples vector M[m] from the time domain plot of the instantaneous frequency signal X iF [n], which vector represents the torsional oscillations of the shaft caused by abrupt combustion process of the reciprocating engine and determination of the shaft speed vector S[m].
Abstract translation:自动确定由往复式发动机驱动的系统中的轴的旋转速度的方法包括在计算机设备中执行的用于采集和处理数据的数据采集和测量过程,其中, 测量数据的步骤包括测量旋转轴的振动信号x [n](其中n是所获取的信号的长度),还包括以下步骤:获得瞬时角度信号X iA 给出用于接收经过滤波的振动信号样本X F [n]并接收分析信号XΑ[n]的标准预处理动作的测量振动信号x [n] /子> [N]; 计算瞬时频率信号X iF [n]作为分析信号XΑΑ/ sub的瞬时角度信号χΑΑ[n]的样本导数 > [N]; 从瞬时频率信号XINF [n]的时域图创建脉冲采样矢量M [m],该矢量表示由往复式发动机的突然燃烧过程引起的轴的扭转振荡 并确定轴速度矢量S [m]。 p>
Abstract:
The present invention is concerned with a method for identifying the discrete instantaneous angular speed of electromechanical systems in which electrical rotating machinery is used and in which at least one electrical signal is measured during an operation of the electromechanical system. The method is comprised of the steps of measuring analog stator current signals and analog stator voltage signals for at least one phase A, B, C, converting said measurements into a digital discrete form, transmitting said digital discrete signals to a computer device wherein data analysis is performed in a processor unit on the basis of a simplified mathematical model of the dynamics of the motor or generator. During the data analysis an average rotor time constant is calculated, an average supply frequency value is identified, an average angular speed is obtained, and an instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals is determined. The discrete instantaneous angular speed is identified by combining the average supply frequency value, the instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals, the average rotor time constant, and a number of pole pairs of the electric motor, given by the user. The result of combining said data are stored in a memory of the processor unit.
Abstract:
Techniques for monitoring and/or operating a power system asset are provided. A series of sets of first model parameter values (71-73) of a power system asset model is determined from data obtained by measurements. The series of sets of first model parameter values (71-73) is used to determine a set of second model parameter values (79) of a parameter evolution model different from the power system asset model. The parameter evolution model describes an evolution of one, several or all first model parameter values (71-73) of the power system asset model. An output is generated in dependence on at least one of the sets of first model parameter values (71-73) of the power system asset model and the set of second model parameter values (79) of the parameter evolution model.
Abstract:
Techniques for monitoring and/or operating a power system asset are provided. A series of sets of first model parameter values (71-73) of a power system asset model is determined from data obtained by measurements. The series of sets of first model parameter values (71-73) is used to determine a set of second model parameter values (79) of a parameter evolution model different from the power system asset model. The parameter evolution model describes an evolution of one, several or all first model parameter values (71-73) of the power system asset model. An output is generated in dependence on at least one of the sets of first model parameter values (71-73) of the power system asset model and the set of second model parameter values (79) of the parameter evolution model.
Abstract:
The present invention is concerned with a method for identifying the discrete instantaneous angular speed of electromechanical systems in which electrical rotating machinery is used and in which at least one electrical signal is measured during an operation of the electromechanical system. The method is comprised of the steps of measuring analog stator current signals and analog stator voltage signals for at least one phase A, B, C, or measuring only the analog stator current signals, converting said measurements into a digital discrete form, transmitting said digital discrete signals to a computer device wherein data analysis is performed in a processor unit on the basis of a simplified mathematical model of the dynamics of the motor or generator. During the data analysis an average rotor time constant is calculated, an average supply frequency value is identified, an average angular speed is obtained, and an instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals is determined. The discrete instantaneous angular speed is identified by combining the average supply frequency value, the instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals, the average rotor time constant, and a number of pole pairs of the electric motor, given by the user. The result of combining said data are stored in a memory of the processor unit.
Abstract:
The present invention is concerned with a method for identifying the discrete instantaneous angular speed of electromechanical systems in which electrical rotating machinery is used and in which at least one electrical signal is measured during an operation of the electromechanical system. The method is comprised of the steps of measuring analog stator current signals and analog stator voltage signals for at least one phase A, B, C, or measuring only the analog stator current signals, converting said measurements into a digital discrete form, transmitting said digital discrete signals to a computer device wherein data analysis is performed in a processor unit on the basis of a simplified mathematical model of the dynamics of the motor or generator. During the data analysis an average rotor time constant is calculated, an average supply frequency value is identified, an average angular speed is obtained, and an instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals is determined. The discrete instantaneous angular speed is identified by combining the average supply frequency value, the instantaneous phase difference between the discrete stator current signals and the discrete stator voltage signals, the average rotor time constant, and a number of pole pairs of the electric motor, given by the user. The result of combining said data are stored in a memory of the processor unit.