Method to use a receiver operator characteristics curve for model comparison in machine condition monitoring
First Claim
1. A method of evaluating a monitoring model comprising:
- obtaining a first set of test data, the set of first test data including a first plurality of negative data points;
designating at least one of the first plurality of negative data points as a first positive data point; and
performing a first receiver operator characteristics analysis on the set of test data to obtain a first receiver operator characteristics analysis curve for the test data.
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Abstract
A method to use a receiver operator characteristics curve for model comparison in machine condition monitoring. The method and systems of using this method may be used to evaluate different monitoring models. These models may be used to monitor a variety of different systems such as power plant systems or magnetic resonance imaging systems. The methods use training data and designate one or more points in the data as a false negative, thereby permitting a receiver operator characteristics analysis to be performed. Multiple receiver operator characteristics analyses may be performed either on different models or on different points within a single model, thereby permitting the receiver operator characteristics analyses to be used to select a beneficial model for monitoring a particular system.
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Citations
15 Claims
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1. A method of evaluating a monitoring model comprising:
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obtaining a first set of test data, the set of first test data including a first plurality of negative data points;
designating at least one of the first plurality of negative data points as a first positive data point; and
performing a first receiver operator characteristics analysis on the set of test data to obtain a first receiver operator characteristics analysis curve for the test data. - View Dependent Claims (2, 3, 4, 5)
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6. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:
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obtaining a first set of test data, the set of first test data including a first plurality of negative data points;
designating at least one of the first plurality of negative data points as a first positive data point; and
performing a first receiver operator characteristics analysis on the set of test data to obtain a first receiver operator characteristics analysis curve for the test data. - View Dependent Claims (7, 8, 9, 10)
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11. A system for evaluating a monitoring model comprising:
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means for obtaining a first set of test data, the set of first test data including a first plurality of negative data points;
a first determinator for designating at least one of the first plurality of negative data points as a first positive data point; and
means for performing a first receiver operator characteristics analysis on the set of test data to obtain a first receiver operator characteristics analysis curve for the test data. - View Dependent Claims (12, 13, 14, 15)
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Specification