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System and method for conditional multi-output regression for machine condition monitoring
System and method for conditional multi-output regression for machine condition monitoring
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机译:用于机器状态监测的条件多输出回归的系统和方法
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摘要
A method for predicting sensor output values of a sensor monitoring system, includes providing a set test input values to a system of sensors, and one or more known sensor output values from the sensor system, where other sensor output values are unknown, calculating, for each unknown sensor output value, a predictive Gaussian distribution function from the test input values and the known output sensor values, and predicting each unknown output ym by integrating over a product of the predictive Gaussian distribution function and a conditional Gaussian distribution of the unknown output sensor values with respect to the test input values and other unknown output sensor values. A mean and covariance of the predictive Gaussian distribution function are determined from a training phase, and a hyperparameter of the conditional Gaussian distribution are determined by another training phase.
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机译:一种用于预测传感器监视系统的传感器输出值的方法,包括向传感器系统提供一组测试输入值,以及从传感器系统提供一个或多个已知传感器输出值,其中其他传感器输出值未知,为每个未知传感器输出值,根据测试输入值和已知输出传感器值的预测高斯分布函数,并通过对预测高斯分布函数和a的乘积进行积分来预测每个未知输出y m Sub>未知输出传感器值相对于测试输入值和其他未知输出传感器值的条件高斯分布。从训练阶段确定预测高斯分布函数的均值和协方差,并通过另一个训练阶段确定条件高斯分布的超参数。
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