Diagnostic and prognostic method and system
First Claim
1. A method for diagnosing a system, comprising:
- obtaining a plurality of input parameters from the system, wherein the system generates actual values of one or more output parameters based on the plurality of input parameters;
independently deriving values of the one or more output parameters, based on the plurality of input parameters, using a computational model;
detecting a divergence between the derived values and the actual values;
identifying respective desired statistical distributions of the plurality of input parameters, based on the actual values of the one or more output parameters, using the computational model;
determining whether any of the plurality of input parameters is out of a predetermined input space prior to identifying the respective desired statistical distributions, wherein the input space is determined based on original desired statistical distributions of the plurality of input parameters of the computational model; and
determining the derived values of the one or more output parameters inconclusive for identifying potential failures if any of the plurality of input parameters is out of the input space.
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Abstract
A method for diagnosing a system is provided. The method may include obtaining a plurality of input parameters from the system. The system may generate actual values of one or more output parameters based on the plurality of input parameters. The method may also include independently deriving values of the one or more output parameters, based on the plurality of input parameters, using a computational model, and detecting a divergence between the derived values and the actual values. Further, the method may include identifying respective desired statistic distributions of the plurality of input parameters, based on the actual values of the one or more output parameters, using the computational model.
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Citations
14 Claims
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1. A method for diagnosing a system, comprising:
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obtaining a plurality of input parameters from the system, wherein the system generates actual values of one or more output parameters based on the plurality of input parameters; independently deriving values of the one or more output parameters, based on the plurality of input parameters, using a computational model; detecting a divergence between the derived values and the actual values; identifying respective desired statistical distributions of the plurality of input parameters, based on the actual values of the one or more output parameters, using the computational model; determining whether any of the plurality of input parameters is out of a predetermined input space prior to identifying the respective desired statistical distributions, wherein the input space is determined based on original desired statistical distributions of the plurality of input parameters of the computational model; and determining the derived values of the one or more output parameters inconclusive for identifying potential failures if any of the plurality of input parameters is out of the input space. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for providing a prognosis associated with a system, comprising:
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obtaining a plurality of input parameters from the system, wherein the system generates actual values of one or more output parameters based on the plurality of input parameters; independently deriving values of the one or more output parameters using a computational model based on the plurality of input parameters; estimating future values of the one or more output parameters of the system by calculating a trend of differences between the actual values and the derived values; detecting a potential divergence between the future values and the derived values; and identifying respective desired statistic distributions of the plurality of input parameters using the computational model based on the future values of the one or more output parameters, wherein the computational model is generated by; obtaining data records associated with the plurality of input parameters and the one or more output parameters; generating the computational model indicative of interrelationships between the plurality of input parameters and the one or more output parameters based on the data records; and determining original desired respective statistical distributions of the subset of input parameters of the computational model based on a zeta statistic of the computational model. - View Dependent Claims (10, 11, 12, 13, 14)
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Specification