System and method for detecting an anomalous condition
First Claim
1. A system for analyzing an anomalous condition, comprising:
- a process for producing a product, including;
at least one actuator for controlling the process;
at least one sensor for measuring information pertaining to the status of the process, and for generating output based thereon;
a parameter extractor for receiving the output from the at least one sensor, and for generating at least one representative value that is characteristic of a pattern expressed in the output;
a knowledge base for storing data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions;
an analyzer for analyzing the representative value output from the parameter extractor with respect to the data stored in the knowledge base, and for generating a diagnostic result which diagnoses an anomalous condition in the process; and
control logic for using the diagnostic result to affect corrective action to the process by adjusting the at least one actuator.
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Abstract
A technique for analyzing an anomalous condition includes: (a) providing sensor output from at least one sensor used to measure information pertaining to the status of a process; (b) receiving the output from the at least one sensor, and for extracting at least one representative value that is characteristic of a pattern expressed in the output; (c) retrieving data from a knowledge base, the data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions; (d) analyzing the representative value output from the extracting step with respect to the data stored in the knowledge base, and generating a diagnostic result which diagnoses an anomalous condition in the process; and (d) using the diagnostic result to affect corrective action to the process by adjusting at least one actuator used in the process. A corresponding system is also described.
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Citations
24 Claims
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1. A system for analyzing an anomalous condition, comprising:
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a process for producing a product, including;
at least one actuator for controlling the process;
at least one sensor for measuring information pertaining to the status of the process, and for generating output based thereon;
a parameter extractor for receiving the output from the at least one sensor, and for generating at least one representative value that is characteristic of a pattern expressed in the output;
a knowledge base for storing data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions;
an analyzer for analyzing the representative value output from the parameter extractor with respect to the data stored in the knowledge base, and for generating a diagnostic result which diagnoses an anomalous condition in the process; and
control logic for using the diagnostic result to affect corrective action to the process by adjusting the at least one actuator. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for analyzing an anomalous condition, comprising:
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a parameter extractor for receiving the output from at least one sensor used to measure information pertaining to a process, and for generating at least one representative value that is characteristic of a pattern expressed in the sensor output;
a knowledge base for storing data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions; and
an analyzer for analyzing the representative value output from the parameter extractor with respect to the data stored in the knowledge base, and for generating a diagnostic result which diagnoses an anomalous condition in the process for use by an actuator in affecting corrective action to the process. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A method for analyzing an anomalous condition, comprising:
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providing sensor output from at least one sensor used to measure information pertaining to the status of a process. receiving the output from the at least one sensor, and for extracting at least one representative value that is characteristic of a pattern expressed in the output;
retrieving data from a knowledge base, the data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions;
analyzing the representative value output from the extracting step with respect to the data stored in the knowledge base, and generating a diagnostic result which diagnoses an anomalous condition in the process; and
using the diagnostic result to affect corrective action to the process by adjusting at least one actuator used in the process. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A method for analyzing an anomalous condition, comprising:
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receiving the output from at least one sensor used to measure information pertaining to the status of a process, and for extracting at least one representative value that is characteristic of a pattern expressed in the output;
retrieving data from a knowledge base, the data including a plurality of representative values, and also including information which maps the representative values to associated anomalous conditions; and
analyzing the representative value output from the parameter extracting step with respect to the data stored in the knowledge base, and generating a diagnostic result which diagnoses an anomalous condition in the process. - View Dependent Claims (20, 21, 22, 23, 24)
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Specification