Diagnostics in industrial process control system
First Claim
1. A field device for diagnosing operation of an industrial process control or monitoring system, comprising:
- an input coupled to the industrial process configured to receive a process signal;
a microprocessor configured to implement;
an enhanced statistical parameter module comprising;
a first statistical parameter module having a first statistical parameter output related to a statistical parameter of the received process signal, wherein the statistical parameter is selected from the group of statistical parameters comprising minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75;
a filter implementing a plurality of filter algorithms having a filter output related to a filtered value of the received process signal based upon at least one of the filter algorithms;
a second statistical parameter module having a second statistical parameter output related to a statistical parameter of the filter output, the second statistical parameter selected from the group of statistical parameters consisting of minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75; and
a diagnostic module configured to diagnose operation of the industrial process based upon the first and the second statistical parameters;
an output configured to provide a diagnostic output from diagnostic module.
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Abstract
A device for diagnosing operation of an industrial process control or monitoring system includes an input configured to receive an input related to a process signal. A first statistical parameter module provides a first statistical parameter output related to a statistical parameter of the process signal. A filter provides a filter output related to a filtered value of the process signal. A second statistical parameter module provides a second statistical parameter output related to a statistical parameter of the filter output. A diagnostic module diagnoses operation of the industrial process based upon the first and second statistical parameters.
56 Citations
32 Claims
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1. A field device for diagnosing operation of an industrial process control or monitoring system, comprising:
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an input coupled to the industrial process configured to receive a process signal; a microprocessor configured to implement; an enhanced statistical parameter module comprising; a first statistical parameter module having a first statistical parameter output related to a statistical parameter of the received process signal, wherein the statistical parameter is selected from the group of statistical parameters comprising minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75; a filter implementing a plurality of filter algorithms having a filter output related to a filtered value of the received process signal based upon at least one of the filter algorithms; a second statistical parameter module having a second statistical parameter output related to a statistical parameter of the filter output, the second statistical parameter selected from the group of statistical parameters consisting of minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75; and a diagnostic module configured to diagnose operation of the industrial process based upon the first and the second statistical parameters; an output configured to provide a diagnostic output from diagnostic module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A method for diagnosing operation of an industrial process or monitoring system, comprising:
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receiving an input in a field device related to a process signal; calculating with a microprocessor in the field device a first statistical parameter related to a statistical parameter of the process signal, wherein the statistical parameter is selected from the group of statistical parameters comprising of minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75; implementing a plurality of filter algorithms and filtering the received process signal based upon at least one of the filter algorithms received to provide a filtered value of the process signal; calculating with the microprocessor a second statistical parameter based upon the received filtered value of the process signal wherein the statistical parameter is selected from the group of statistical parameters comprising of minimum, maximum, range, mean, root mean squared, standard deviation, Q25, Q50 and Q75; and diagnosing operation of the industrial process with the microprocessor based upon the first statistical parameter and the second statistical parameter. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A field device for diagnosing operation of an industrial process control or monitoring system, comprising:
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an input coupled to the industrial process configured to receive a process signal; a microprocessor configured to implement; an enhanced statistical parameter module, comprising; a first statistical parameter module configured to calculate a plurality of statistical parameters and having a first statistical parameter output related to at least one statistical parameter of the received process signal based upon at least one of the plurality of statistical parameters; a filter having a filter output related to a filtered value of the received process signal, the filtered value comprising a difference in the process signal between at least two points in time; a second statistical parameter module configured to calculate a plurality of statistical parameters and having a second statistical parameter output related to at least one statistical parameter of the filter output based upon at least one of the plurality of statistical parameters; and a diagnostic module configured to diagnose operation of the industrial process based upon the first at least one statistical parameter and the second at least one statistical parameter; an output configured to provide a diagnostic output from diagnostic module.
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Specification