Bayesian belief networks for industrial processes
First Claim
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1. A method for diagnosis of sensors comprising:
- a) providing at least one sensor-status node wherein each sensor-status node comprises a known probability table;
b) providing at least one process-variable node wherein each process-variable node comprises a known probability table;
c) providing at least one sensor-reading node wherein each sensor-reading node comprises a probability table conditional on at least two known probability tables;
d) providing the at least one sensor-reading node with at least one sensor reading;
e) inferring a status of at least one sensor.
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Abstract
A method and an apparatus for diagnosis of sensors and/or processes through use of Bayesian belief networks. More specifically, the method and apparatus of the present invention achieve sensor and/or process fault detection, isolation, and accommodation.
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Citations
18 Claims
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1. A method for diagnosis of sensors comprising:
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a) providing at least one sensor-status node wherein each sensor-status node comprises a known probability table;
b) providing at least one process-variable node wherein each process-variable node comprises a known probability table;
c) providing at least one sensor-reading node wherein each sensor-reading node comprises a probability table conditional on at least two known probability tables;
d) providing the at least one sensor-reading node with at least one sensor reading;
e) inferring a status of at least one sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A sensor diagnostic apparatus comprising:
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calculation means for calculating probabilities of a Bayesian belief network wherein said network comprises at least one sensor-status node, at least one process-variable node, and at least one sensor-reading node;
input means for inputting information to said calculation means;
storage means for storing information; and
output means for outputting information from said calculation means. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification