Notice of RetractionDesign data structure for WAMS datastream mining base on GPS time scale

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

WAMS application platform to power dynamic real-time monitoring possible, the amount of data generated by WAMS platform very large, and the datastream flow to the control center in High-speed. It is a problem need to Resolved that How to use the WAMS data to judge abnormalities of power system rapidly. For mining in WAMS data stream, this paper explore the model of data stream and elements used to identify disturbance type. This paper explores the datastream model and identify the elements of disturbance, and propose summary of a data stream mining data structure against the feature of power system. It provides an important basis for for further research on data stream mining algorithms.