A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry

Conference · Sat Apr 01 00:00:00 EDT 2017

DOI:https://doi.org/10.1080/00295450.2018.1452498· OSTI ID:1356928

Ezell, N Dianne Bull  ^[1]; Britton Jr, Charles L.  ^[1]; Roberts, Michael ^[1]; Holcomb, David Eugene  ^[1]; Ericson, Milton Nance  ^[1]; Djouadi, Seddik M. ^[1]; Wood, Richard Thomas ^[1]

---

1. ORNL

Johnson noise thermometry (JNT) is one of many important measurements used to monitor the safety levels and stability in a nuclear reactor. However, this measurement is very dependent on the 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 in this document. Spectral estimation is a key component in the signal processing algorithm utilized for EMI removal and temperature calculation. Applying these techniques requires the simple addition of the electronics and signal processing to existing resistive thermometers.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1356928
• Resource Relation: Journal Volume: 202; Journal Issue: 2-3; Conference: 10th International Embedded Topical Meeting on Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC & HMIT 2017) - San Francisco, Washington, United States of America - 6/11/2017 12:00:00 AM-6/15/2017 12:00:00 AM
• Country of Publication: United States
• Language: English