Multiple Bad Data Identification Based on Partition and Partition Re-Combination

Jia Yi Zang; Chang Yun Li; Wei Zhang; Tian Dong Yu; Yan Hong Li

doi:10.4028/www.scientific.net/AMR.614-615.747

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 614-615Multiple Bad Data Identification Based on...

Multiple Bad Data Identification Based on Partition and Partition Re-Combination

Abstract:

As the existing methods can not effectively identify multiple bad data, this paper presents a method based on grid partition to detect bad data, and then uses partition re-combination method to identify bad data.

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Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

747-750

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.614-615.747

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Online since:

December 2012

Authors:

Jia Yi Zang, Chang Yun Li, Wei Zhang, Tian Dong Yu, Yan Hong Li

Keywords:

Estimation, Multiple Bad Data, Partition, Partition Re-Combination

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