초록 ▼

A sensor in an engineering system can be tested to detect, isolate and accommodate faults. Initially, a modeled sensor value of each actual sensor value is generated as a function of a plurality of other sensors. An absolute value of a difference between the actual sensor value and the modeled senso

A sensor in an engineering system can be tested to detect, isolate and accommodate faults. Initially, a modeled sensor value of each actual sensor value is generated as a function of a plurality of other sensors. An absolute value of a difference between the actual sensor value and the modeled sensor value is then computed and compared to a predetermined threshold. A sensor fault is detected if the difference is greater than the predetermined threshold. Once a sensor fault is detected, it is isolated using hypothesis testing and maximum wins strategies. After the fault is isolated, the fault is accommodated by substituting the modeled sensor value for the actual sensor value.

대표청구항 ▼

A sensor in an engineering system can be tested to detect, isolate and accommodate faults. Initially, a modeled sensor value of each actual sensor value is generated as a function of a plurality of other sensors. An absolute value of a difference between the actual sensor value and the modeled senso

A sensor in an engineering system can be tested to detect, isolate and accommodate faults. Initially, a modeled sensor value of each actual sensor value is generated as a function of a plurality of other sensors. An absolute value of a difference between the actual sensor value and the modeled sensor value is then computed and compared to a predetermined threshold. A sensor fault is detected if the difference is greater than the predetermined threshold. Once a sensor fault is detected, it is isolated using hypothesis testing and maximum wins strategies. After the fault is isolated, the fault is accommodated by substituting the modeled sensor value for the actual sensor value. t least some of filtering conditions, and wherein filtering the selected errors comprises applying the filtering conditions to the errors in the error list in order of the level of severity of the conditions. 8. A method according to claim 1, wherein analyzing the composed events comprises assigning the events to event sets specified in an event sets table, wherein each event set is associated with at least one of the predetermined types of faults. 9. A method according to claim 1, wherein analyzing the composed events comprises outputting a message to a user with the assessment that one of the predetermined types of faults has occurred with a specified probability that the assessment is correct. 10. A method according to claim 9, wherein outputting the message comprises indicating a component of the system that should be replaced. 11. A method for diagnosing faults in a computer-based system, comprising: reading a log of errors of different kinds that have been recorded in the system; selecting from the log errors of those kinds that are relevant to one or more predetermined types of faults that can occur in the system; filtering the selected errors so as to compose one or more events, each event comprising one or more occurrences of one or more of the relevant kinds of the errors; and analyzing the composed events to reach an assessment that at least one of the predetermined types of faults has occurred, wherein filtering the selected errors comprises filtering the errors according to filtering conditions specified in a filtering table, each filtering condition specifying a set of errors required in order to compose one of the events, and wherein the set of errors comprises a plurality of the errors, and wherein the filtering condition specifies a maximum time lapse during which all of the plurality of the errors must occur in order for the condition to be satisfied. 12. A method for diagnosing faults in a computer-based system, comprising: reading a log of errors of different kinds that have been recorded in the system; selecting from the log errors of those kinds that are relevant to one or more predetermined types of faults that can occur in the system; filtering the selected errors so as to compose one or more events, each event comprising one or more occurrences of one or more of the relevant kinds of the errors; and analyzing the composed events to reach an assessment that at least one of the predetermined types of faults has occurred, wherein filtering the selected errors comprises removing errors that have been used in composing one of the events from the error list, whereby any given error is not used to compose more than a single event. 13. A method according to claim 12, wherein removing the errors from the error list comprises removing both errors specified as being required to compose a given one of the events and errors specified as being associated with the given one of the events but not required to compose it. 14. A method for diagnosing faults in a computer-based system, comprising: reading a log of errors of different kinds that have been recorded in the system; selecting from the log errors of those kinds that are relevant to one or more predetermined types of faults that can occur in the system; filtering the selected errors so as to compose one or more events, each event comprising one or more occurrences of one or more of the relevant kinds of the errors; and analyzing the composed events to reach an assessment that at least one of the predetermined types of faults has occurred, wherein analyzing the composed events comprises assigning the events to event sets specified in an event sets table, wherein each event set is associated with at least one of the predetermined types of faults, and wherein the event sets table specifies a number of instances of one or more of the events that must occur within a given time frame in order for the event set to be complete, and wherein ana