Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement
Reexamination Certificate
2011-04-12
2011-04-12
Raymond, Edward (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system
Statistical measurement
Reexamination Certificate
active
07925470
ABSTRACT:
A method and apparatus for detecting an abnormality in e.g. in operating characteristics or function of a machine, apparatus or system, the method including providing a data sample set comprising n values of a measured physical parameter associated with the apparatus or system generated by repeating a measurement of the physical parameter n times. An extremal measured parameter value is selected from amongst the data sample set, determining a probability of observing the selected parameter value (e.g. of observing a value not exceeding the selected parameter value) by applying the selected parameter value to an extreme value probability distribution function having a location parameter and a scale parameter. The value of the location parameter and the value of the scale parameter are each constructed using an integer value m (e.g. notionally representing the size of a sub-sample data set comprising m of said measured parameter values) in which m is less than n (i.e. m<n). A conditional indication is given that the selected parameter value is abnormal according to the value of the probability.
REFERENCES:
patent: 7415390 (2008-08-01), Radulovic et al.
patent: 2006/0074598 (2006-04-01), Emigholz et al.
patent: 2007/0203653 (2007-08-01), Ben-Dor et al.
Anuzis Paul
Clifton David
King Dennis M
King Stephen P
Slater Robert W
Oliff & Berridg,e PLC
Oxford Biosignals Limited
Raymond Edward
Rolls-Royce PLC
LandOfFree
Novelty detection does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Novelty detection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Novelty detection will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2737130