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A method for analyzing and diagnosing the state of a system having a plurality of variables, and an information processing device using the method.

机译:一种用于分析和诊断具有多个变量的系统的状态,以及使用该方法的信息处理设备。

摘要

PROBLEM TO BE SOLVED: To accurately determine whether a system is normal or abnormal by treating these variables as complex numbers and observing the relationship between these complex numbers when each variable obtained from the system has a two-dimensional distribution. It is an object of the present invention to provide a state analysis diagnosis method of a system having a plurality of variables, which can be diagnosed, and an information processing apparatus using the method. SOLUTION: The information processing apparatus 1 used for the state analysis diagnosis method of a system having a plurality of variables, when the plurality of variables each have a two-dimensional distribution, the value of each variable in the X-axis direction. Is regarded as a complex number with the real part and the value in the Y-axis direction of each variable as the imaginary part, the complex correlation coefficient between the plurality of variables is calculated, the calculated complex correlation coefficient is represented by a matrix, and the complex phase is expressed. The complex maharanobis distance is calculated using the inverse matrix of the relational number matrix, and the control means 11 for diagnosing the normality or abnormality of the system based on the calculated value of the complex maharanobis distance is provided. [Selection diagram] FIG. 15
机译:要解决的问题:通过将这些变量视为复数并观察从系统获得的每个变量具有二维分布时,可以准确地确定系统是否正常或异常。本发明的一个目的是提供一种具有多个变量的系统的状态分析诊断方法,该系统可以被诊断为使用该方法的信息处理设备。解决方案:用于具有多个变量的系统的状态分析诊断方法的信息处理装置1,当多个变量各自具有二维分布时,X轴方向上的每个变量的值。被视为具有实际部分的复数和每个变量的Y轴方向的值作为虚部,计算多个变量之间的复杂相关系数,计算出的复杂相关系数由矩阵表示,并且复杂的阶段表示。使用关系数矩阵的逆矩阵计算复杂的Maharanobis距离,并且提供了基于基于复杂的Maharanobis距离的计算值诊断系统的正常性或异常的控制装置11。 [选择图]图。 15.

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