发明名称 |
DISTINGUISHING BETWEEN SENSOR AND PROCESS FAULTS IN A SENSOR NETWORK WITH MINIMAL FALSE ALARMS USING A BAYESIAN NETWORK BASED METHODOLOGY |
摘要 |
A method, system and computer program product for distinguishing between a sensor fault and a process fault in a physical system and use the results obtained to update the model. A Bayesian network is designed to probabilistically relate sensor data in the physical system which includes multiple sensors. The sensor data from the sensors in the physical system is collected. A conditional probability table is derived based on the collected sensor data and the design of the Bayesian network. Upon identifying anomalous behavior in the physical system, it is determined whether a sensor fault or a process fault caused the anomalous behavior using belief values for the sensors and processes in the physical system, where the belief values indicate a level of trust regarding the status of its associated sensors and processes not being faulty. |
申请公布号 |
US2012215450(A1) |
申请公布日期 |
2012.08.23 |
申请号 |
US201213402084 |
申请日期 |
2012.02.22 |
申请人 |
ASHOK PRADEEPKUMAR;KRISHNAMOORTHY GANESH;TESAR DELBERT;BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM |
发明人 |
ASHOK PRADEEPKUMAR;KRISHNAMOORTHY GANESH;TESAR DELBERT |
分类号 |
G06F17/18;G01R31/00;G06F19/00 |
主分类号 |
G06F17/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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