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Signal De-Noising of Quench Detection by Real-Time Wavelet Analysis Algorithm for HTS Coil and Magnet
- Source :
- IEEE Transactions on Applied Superconductivity. 27:1-5
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- For automatic quench protection system, correction of quench judgment is important to the prolonged stable operation of superconducting devices. In poor electromagnetic environment, quench detection based on electrometric method is easily interfered by noise and severely disrupted quench signal may cause wrong quench determination and malfunction of quench protection, thereby resulting in unnecessary loss. One reason causing noise is current fluctuation and the noise is hard to be filtered by conventional filter circuit. In order to restrain noise and reduce false action of quench detection, this paper proposes a real-time wavelet analysis algorithm based on field programmable gate array platform. Experiment of filtering noise coupled whit quench signal of a HTS coil shows that the real-time wavelet analysis algorithm can filter noise out effectively. This method can be applied for filtering noise of quench detection for HTS coil and magnet.
- Subjects :
- 010302 applied physics
Electromagnetic environment
Noise (signal processing)
Computer science
High Energy Physics::Lattice
Condensed Matter Physics
01 natural sciences
Signal
Electronic, Optical and Magnetic Materials
Wavelet
Electromagnetic coil
Magnet
0103 physical sciences
Electrical and Electronic Engineering
010306 general physics
Field-programmable gate array
Algorithm
Electronic filter
Subjects
Details
- ISSN :
- 15582515 and 10518223
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Applied Superconductivity
- Accession number :
- edsair.doi...........a6c2720b99f7a9f55a06a5661e95000d