Method of identifying abnormal behaviour in a fleet of vehicles
First Claim
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1. A method of monitoring a complex system having multiple sub-systems described by a plurality of operating parameters, comprising:
- continually generating data pertaining to said operating parameters during operation of said system;
storing said data in a central database;
defining a window of samples over which data is to be analyzed;
normalizing said data to take into account variability factors and introduce a weighting factor to define thresholds dependent on the performance of individual monitored components and the performance of said components across the fleet;
storing said defined thresholds for said defined window; and
continually comparing new incoming data from said sub-systems with said stored defined thresholds to identify abnormalities in the system.
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Abstract
A method is disclosed for monitoring a complex system, such as a fleet of aircraft, having multiple sub-systems described by a plurality of operating parameters. Data pertaining to the operating parameters is continually generated during operation of the vehicles. The data is normalized to take into account variability factor and stored in a central database. New incoming data from the sub-systems is continually compared with the stored data to identify abnormalities. The invention is applicable to the monitoring of a fleet of aircraft.
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Citations
10 Claims
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1. A method of monitoring a complex system having multiple sub-systems described by a plurality of operating parameters, comprising:
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continually generating data pertaining to said operating parameters during operation of said system;
storing said data in a central database;
defining a window of samples over which data is to be analyzed;
normalizing said data to take into account variability factors and introduce a weighting factor to define thresholds dependent on the performance of individual monitored components and the performance of said components across the fleet;
storing said defined thresholds for said defined window; and
continually comparing new incoming data from said sub-systems with said stored defined thresholds to identify abnormalities in the system. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10)
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2. A method as claimed in claim 2, wherein said window represents a specific time period.
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