A Novel Fault Identification Using WAMS/PMU
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2012/01/01
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Indian UGC (journal)
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Refrences12
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Citations6
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Y. ZHANG
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Z. WANG
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J. ZHANG
Cite
ZHANG, Y., et al. “A Novel Fault Identification Using WAMS PMU”. Advances in Electrical and Computer Engineering, vol. 12, no. 2, 2012, pp. 21-26, https://doi.org/10.4316/aece.2012.02004.
ZHANG, Y., WANG, Z., & ZHANG, J. (2012). A Novel Fault Identification Using WAMS/PMU. Advances in Electrical and Computer Engineering, 12(2), 21-26. https://doi.org/10.4316/aece.2012.02004
ZHANG Y, WANG Z, ZHANG J. A Novel Fault Identification Using WAMS/PMU. Advances in Electrical and Computer Engineering. 2012;12(2):21-6.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Technology
Engineering (General)
Civil engineering (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Fault localization in electrical power systems: A pattern recognition approach | International Journal of Electrical Power & Energy Systems |
| 46 | 2011 |
| PCA Fault Feature Extraction in Complex Electric Power Systems | Advances in Electrical and Computer Engineering |
| 9 | 2010 |
| Recent Research Progress in Fault Analysis of Complex Electric Power Systems | Advances in Electrical and Computer Engineering |
| 14 | 2010 |
| A novel hybrid state estimator for including synchronized phasor measurements | Electric Power Systems Research |
| 69 | 2008 |
| Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers | Electric Power Systems Research |
| 40 | 2008 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 5
is the most frequently represented among the references in this article. It primarily includes studies from Electric Power Systems Research The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A Phasor Estimation Algorithm based on Hilbert Transform for P-class PMUs | Advances in Electrical and Computer Engineering |
| 2018 | |
| Fault Localization for Synchrophasor Data using Kernel Principal Component Analysis | Advances in Electrical and Computer Engineering |
| 2017 | |
Fluctuation Magnitude Calculation and Oscillation Probability Analysis of Tie-Line Active Power in Interconnected Power System | Advanced Materials Research | 2014 | ||
| A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm | Advances in Electrical and Computer Engineering |
| 2014 | |
| Experimental System for Monitoring and Diagnosis of a Static Power Converter | Advances in Electrical and Computer Engineering |
| 2013 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware 5
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled New Fault Discrimination under the Influence of Rayleigh Noise and was published in 2013. The most recent citation comes from a 2018 study titled A Phasor Estimation Algorithm based on Hilbert Transform for P-class PMUs. This article reached its peak citation in 2014, with 2 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Advances in Electrical and Computer Engineering cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.