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An EEMD-Based Electromagnetic Induction Method for Nondestructive Testing of Buried Metal Conductors
- Source :
- IEEE Access, Vol 7, Pp 142261-142271 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Nondestructive testing of substation grounding grids is an issue that has increasing importance. The traditional EMI method transforms the condition of the undergrounding conductors to the surficial induced electric signal in the sensing coil. However, The EMI signals excited by multiple coexisted faults combining with other unknown noises surrounding the substation often cause the failure of detection. Therefore, the observed EMI signals rather complex and cannot be used directly. To address this problem, the separation of individual signatures from the mixture is posed as an SCBSS problem. To extract the induced signal, an EEMD-based EMI method is proposed. The desired signal is then reconstructed to visualize the structure of the grounding grids by a virtual instrument that consists of DAQ and digital signal processing modules. The numerical simulation and practical experiments are employed. The results show the proposed method can be used to effectively detect the topological structure of grounding grid in real substations' electromagnetic environment.
- Subjects :
- General Computer Science
Electromagnetic environment
Computer science
Signal
Metal
Data acquisition
Nondestructive testing
electromagnetic induction (EMI)
Electronic engineering
General Materials Science
ensemble empirical mode decomposition (EEMD)
Electrical conductor
Digital signal processing
Ground
business.industry
General Engineering
nondestructive testing (NDT)
single channel blind source separation (SCBSS)
Electromagnetic induction
Undergrounding
Electromagnetic coil
visual_art
Grounding grid
visual_art.visual_art_medium
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....dde619356246942b291c62ffb07ebdf6
- Full Text :
- https://doi.org/10.1109/access.2019.2944549