Data fusion for fault diagnosis in smart grid power systems

By Mojtaba Kordestani, Mehrdad Saif. 2017

24 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing

In Electrical and Electronic Engineering

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing

In Safety, Risk, Reliability and Quality

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “3 - - Y Y N [45] Data injection detection Line power flow K-means or EM IEEE 39 bus - - - - - Y Y [87] False data injection detection Stste estimation Spatiotemporal cyber-state correlation US smart grid Y N - - - N Y [88] Fault Diagnosis Circuit Breakers data and voltage data OWA, ANN, IEEE 14-bus ”