Alert generation for trend performance analysis
Patent 6408259 Issued on June 18, 2002. Estimated Expiration Date: 
February 1, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
February 1, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesEngine condition calculating device Reference system and method for diagnosing aircraft engine conditions Adaptive fast fuzzy clustering system System and method for measuring the operation of a device Patent #: 5406502 InventorsAssigneeApplicationNo. 492685 filed on 02/01/2000US Classes:702/183, Diagnostic analysis701/29, Vehicle diagnosis or maintenance indication701/34, Detection of faulty sensor701/100, Gas turbine, compressor702/104, Sensor or transducer702/182, Performance or efficiency evaluation702/185Cause or fault identificationExaminersPrimary: Shah, KaminiAssistant: Vo, Hieu T. Attorney, Agent or FirmInternational ClassG06F 011/00AbstractThis invention provides an improved alert generation system and method for trend performance analysis. A multi-variate abnormal condition detector normalizes data obtained from a process and classifies the data in a multi-dimensional space defined for the variables in the process. The normalized data are classified into either a normal or abnormal class. An alert evaluator evaluates the data classified in the abnormal class and determines whether the data are a true alert or a false alert. In another embodiment, the multi-variate abnormal condition detector and alert evaluator are used in parallel with a trend performance analysis tool to validate alerts generated therefrom.Other References
Field of SearchDiagnostic analysisPerformance or efficiency evaluation Cause or fault identification Statistical measurement Sensor or transducer Detection of faulty sensor With data recording device Artificial intelligence (e.g., fuzzy logic) Vehicle diagnosis or maintenance indication With indicator or control of power plant (e.g., performance) Gas turbine, compressor Artificial intelligence (e.g., fuzzy logic) FUZZY LOGIC Vehicle or aerospace Process plant | |
