Published 1987 | Version v1
Report Restricted

Reactor noise diagnostics based on multivariate autoregressive modeling: Application to LOFT [Loss-of-Fluid-Test] reactor process noise

Description

Multivariate noise analysis of power reactor operating signals is useful for plant diagnostics, for isolating process and sensor anomalies, and for automated plant monitoring. In order to develop a reliable procedure, the previously established techniques for empirical modeling of fluctuation signals in power reactors have been improved. Application of the complete algorithm to operational data from the Loss-of-Fluid-Test (LOFT) Reactor showed that earlier conjectures (based on physical modeling) regarding the perturbation sources in a Pressurized Water Reactor (PWR) affecting coolant temperature and neutron power fluctuations can be systematically explained. This advanced methodology has important implication regarding plant diagnostics, and system or sensor anomaly isolation. 6 refs., 24 figs

Availability note (English)

Available from NTIS, PC A03; 3 as DE87011871.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Publishing Information

Imprint Pagination
38 p.
Report number
DOE/NE/37959--5

Conference

Title
4. conference on utility experience in reactor noise analysis.
Dates
12-14 May 1987.
Place
Hartford, CT (USA).

Optional Information

Notes
Paper copy only, copy does not permit microfiche production.
Secondary number(s)
CONF-870598--2.