ONLINE HEALTH MONITORING VIA MULTIDIMENSIONAL TEMPORAL DATA MINING
First Claim
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1. A method for predicting an occurrence of an event in a vehicle, the method comprising:
- monitoring a string of multi-dimensional tokens, wherein each multi-dimensional token of the string includes values of one or more operating parameters of the vehicle at an instant in time;
identifying a pattern of values of the one or more operating parameters in the string, wherein the pattern is identified by mining the string of multi-dimensional tokens; and
forecasting the occurrence of the event based on a correlation between the identified pattern and a pre-recorded pattern.
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Abstract
A system and method for predicting the occurrence of an event in a vehicle. The method includes monitoring a data stream including multi-dimensional tokens having information about one or more vehicle operating parameters. Further, the method includes the identification of a pattern of values of the one or more operating parameters in the data stream by mining the data stream using a temporal data miner, and predicting the occurrence of the event based on the correlation between the detected pattern and a pre-recorded pattern.
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Citations
19 Claims
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1. A method for predicting an occurrence of an event in a vehicle, the method comprising:
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monitoring a string of multi-dimensional tokens, wherein each multi-dimensional token of the string includes values of one or more operating parameters of the vehicle at an instant in time; identifying a pattern of values of the one or more operating parameters in the string, wherein the pattern is identified by mining the string of multi-dimensional tokens; and forecasting the occurrence of the event based on a correlation between the identified pattern and a pre-recorded pattern. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for detecting performance degradations in operating vehicles, said method comprising:
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monitoring a serial data stream on the vehicle where the serial data stream includes logical values and each logical value identifies more than one operating parameter of the vehicle; detecting patterns of the logical values in the serial data stream; comparing the detected patterns of logical values to known patterns of logical values; and determining the occurrence of a degradation event based on the comparison between the detected patterns and the known patterns. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. A system for predicting an occurrence of an event in a vehicle, the system comprising:
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a data miner for identifying a pattern by mining a string of multi-dimensional tokens, wherein each multi-dimensional token of the string includes values of one or more operating parameters of the vehicle at an instant of time corresponding to the multi-dimensional token; and a graph matcher to correlate the identified pattern and a pre-recorded pattern, wherein the occurrence of the event is forecasted based on the correlation between the identified pattern and the pre-recorded pattern. - View Dependent Claims (16, 17, 18, 19)
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Specification