Current Signature Analysis as Diagnosis Media for Incipient Fault Detection
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2007/01/01
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Indian UGC (journal)
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Citations6
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L. MIHET-POPA
Cite
MIHET-POPA, L. “Current Signature Analysis As Diagnosis Media for Incipient Fault Detection”. Advances in Electrical and Computer Engineering, vol. 7, no. 2, 2007, pp. 11-15, https://doi.org/10.4316/aece.2007.02003.
MIHET-POPA, L. (2007). Current Signature Analysis as Diagnosis Media for Incipient Fault Detection. Advances in Electrical and Computer Engineering, 7(2), 11-15. https://doi.org/10.4316/aece.2007.02003
MIHET-POPA L. Current Signature Analysis as Diagnosis Media for Incipient Fault Detection. Advances in Electrical and Computer Engineering. 2007;7(2):11-5.
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)
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
FPGA Implementation of AI-Based Inverter IGBT Open Circuit Fault Diagnosis of Induction Motor Drives | Micromachines |
| 5 | 2022 |
| Investigation on Electromagnetic Performance of Induction Motor with Rotor Bar Faults considering Motor Current Signals | Advances in Electrical and Computer Engineering |
| 2020 | |
| Control Strategy for a Grid-Connected Inverter under Unbalanced Network Conditions—A Disturbance Observer-Based Decoupled Current Approach | Energies |
| 17 | 2017 |
| Broken Bar Fault Detection in IM Operating Under No-Load Condition | Advances in Electrical and Computer Engineering |
| 2016 | |
| Noise and Vibration Monitoring for Premium Efficiency IE 3 Three-Phase Induction Motors | Advances in Electrical and Computer Engineering |
| 2015 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled 10.1016/j.isatra.2010.10.008 and was published in 2011. The most recent citation comes from a 2022 study titled FPGA Implementation of AI-Based Inverter IGBT Open Circuit Fault Diagnosis of Induction Motor Drives. This article reached its peak citation in 2022, with 1 citations. It has been cited in 4 different journals, 75% of which are open access. Among related journals, the Advances in Electrical and Computer Engineering cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.