Method and apparatus for analysing time series data
|555 - Abstract:|
|The European Space Agency has developed a method and apparatus for analysing time series data. This technology can be used in transport, electric and communications industries to perform data analysis and look for anomalies in telemetric data and to correlate parameters involved in these anomalies improving manual search times. License agreement collaboration is sought.|
Description of the offer:
This technology is constituted by a data analysis method and an apparatus.
Data analysis method for anomaly investigation is used to analyse telemetry history looking for a parameter anomaly, e.g. when a parameter crosses a noticeable threshold, and try to identify anomaly causes and patterns that help engineers to prevent it from recurring in the future or to minimise the effects of the anomaly.
This method offers two functionalities:
- Pattern matching: the user defines some patterns of a parameter and the system looks for this anomaly with some flexibility (as anomaly behaviours are never exactly the same).
- Correlator: this functionality allows the identification of telemetry parameters that are involved in an anomaly. Anomalies could be prevented by monitoring different parameters than just the parameter that causes it. With this method more information can be obtained about the other parameters of the anomaly - patterns, behaviour - so it can be prevented from happening again.
In general, the present technology can be applied to any system for which time series data is available and which shows a behaviour, operation or characteristics that allows for distinguishing between at least two states or conditions of the system (e.g. nominal and anomalous).
Innovations and advantages of the offer:
This technology offers a 20% - 30% effort reduction in performing anomaly investigation.
Domain of Application:
This technology could be used in transport, communication and electricity transport industries.
- Network test, monitoring and support equipment
- Data processing, analysis and input services
Last update: 15 January 2013