초록 ▼

A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After o

A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.

대표청구항 ▼

A method of testing at least one of a process and a sensor for determining a particular condition therein, comprising the steps of: operating at least a first and second sensor to redundantly detect at least one variable of the process to provide a first signal from said first sensor and a second si

A method of testing at least one of a process and a sensor for determining a particular condition therein, comprising the steps of: operating at least a first and second sensor to redundantly detect at least one variable of the process to provide a first signal from said first sensor and a second signal from said second sensor, each said signal being characteristic of the one variable; obtaining a difference function characteristic of the difference pairwise between said first signal and said second signal at each of a plurality of different times of sensing the one variable; obtaining a frequency domain transformation of said first difference function to procure Fourier coefficients corresponding to Fourier frequencies; generating a composite function over time domain using the Fourier coefficients; obtaining a residual function over time by determining the difference between the difference function and the composite function, the residual function being substantially free of serially correlated noise; operating on the residual function using computer means for performing a statistical analysis technique to determine whether a particular condition is present in at least one of the process and the sensor, the residual function having substantially white noise characteristics input to the statistical analysis technique; and said sensor system providing alarm information to a user of the process allowing changing of at least one of the process and the at least first and second sensor when the particular condition is detected.