A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry
Abstract
Johnson noise thermometry is one of many important measurement techniques used to monitor the safety levels and stability in a nuclear reactor. However, this measurement is very dependent on the minimal electromagnetic environment. Properly removing unwanted electromagnetic interference (EMI) is critical for accurate drift-free temperature measurements. The two techniques developed by Oak Ridge National Laboratory (ORNL) to remove transient and periodic EMI are briefly discussed here. Spectral estimation is a key component in the signal processing algorithm used for EMI removal and temperature calculation. The cross-power spectral density is a key component in the Johnson noise temperature computation. Applying either technique requires the simple addition of electronics and signal processing to existing resistive thermometers. With minimal installation changes, the system discussed here can be installed on existing nuclear power plants. The Johnson noise system developed is tested at three locations: ORNL, Sandia National Laboratory, and the Tennessee Valley Authority’s Kingston Fossil Plant. Each of these locations enabled improvement on the EMI removal algorithm. Finally, the conclusions made from the results at each of these locations is discussed, as well as possible future work.
- Authors:
-
[1];
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Univ. of Tennessee, Knoxville, TN (United States). Electrical Engineering and Computer Science Dept.
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Nuclear Engineering
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE), Reactor Fleet and Advanced Reactor Development. Nuclear Reactor Technologies
- OSTI Identifier:
- 1435219
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Technology
- Additional Journal Information:
- Journal Volume: 202; Journal Issue: 2-3; Journal ID: ISSN 0029-5450
- Publisher:
- Taylor & Francis - formerly American Nuclear Society (ANS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 22 GENERAL STUDIES OF NUCLEAR REACTORS; 42 ENGINEERING; electromagnetic interference; Johnson noise thermometry; spectral estimation; cross-power spectral density
Citation Formats
Ezell, N. Dianne Bull, Britton, Chuck, Ericson, Nance, Holcomb, David, Roberts, M. J., Djouadi, Seddik, and Wood, Richard. A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry. United States: N. p., 2018.
Web. doi:10.1080/00295450.2018.1452498.
Ezell, N. Dianne Bull, Britton, Chuck, Ericson, Nance, Holcomb, David, Roberts, M. J., Djouadi, Seddik, & Wood, Richard. A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry. United States. https://doi.org/10.1080/00295450.2018.1452498
Ezell, N. Dianne Bull, Britton, Chuck, Ericson, Nance, Holcomb, David, Roberts, M. J., Djouadi, Seddik, and Wood, Richard. Fri .
"A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry". United States. https://doi.org/10.1080/00295450.2018.1452498. https://www.osti.gov/servlets/purl/1435219.
@article{osti_1435219,
title = {A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry},
author = {Ezell, N. Dianne Bull and Britton, Chuck and Ericson, Nance and Holcomb, David and Roberts, M. J. and Djouadi, Seddik and Wood, Richard},
abstractNote = {Johnson noise thermometry is one of many important measurement techniques used to monitor the safety levels and stability in a nuclear reactor. However, this measurement is very dependent on the minimal electromagnetic environment. Properly removing unwanted electromagnetic interference (EMI) is critical for accurate drift-free temperature measurements. The two techniques developed by Oak Ridge National Laboratory (ORNL) to remove transient and periodic EMI are briefly discussed here. Spectral estimation is a key component in the signal processing algorithm used for EMI removal and temperature calculation. The cross-power spectral density is a key component in the Johnson noise temperature computation. Applying either technique requires the simple addition of electronics and signal processing to existing resistive thermometers. With minimal installation changes, the system discussed here can be installed on existing nuclear power plants. The Johnson noise system developed is tested at three locations: ORNL, Sandia National Laboratory, and the Tennessee Valley Authority’s Kingston Fossil Plant. Each of these locations enabled improvement on the EMI removal algorithm. Finally, the conclusions made from the results at each of these locations is discussed, as well as possible future work.},
doi = {10.1080/00295450.2018.1452498},
journal = {Nuclear Technology},
number = 2-3,
volume = 202,
place = {United States},
year = {Fri Mar 30 00:00:00 EDT 2018},
month = {Fri Mar 30 00:00:00 EDT 2018}
}
Search WorldCat to find libraries that may hold this journalWeb of Science
Works referenced in this record:
Temperature measurement in nuclear reactors by noise thermometry
journal, November 1971
- Brixy, H. G.
- Nuclear Instruments and Methods, Vol. 97, Issue 1
Works referencing / citing this record:
Johnson noise thermometry
journal, September 2019
- Qu, J. F.; Benz, S. P.; Rogalla, H.
- Measurement Science and Technology, Vol. 30, Issue 11