| Autor: |
Miloslav Hostalek, Frantisek Madron, Leo Stepan |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
International Journal of Nuclear Energy Science and Engineering. 5:9 |
| ISSN: |
2226-3217 |
| DOI: |
10.14355/ijnese.2015.05.002 |
| Popis: |
Data Validation and Reconciliation (DVR) is a basic tool for protection of industrial monitoring systems against gross measurement errors. However, the power of this approach is frequently not fully exploited. This paper concentrates on protection of key results against gross and systematic errors. On‐line monitoring can allow a continuous protection of measurement targets against gross errors in measurement chains. The measurement target can be, for example, a nuclear reactor heat output while errors can be hidden in measured flows and state variables of steam and water. The methodology presented here allows a gross error to be identified while maintaining an accurate value of the target variable. In analogy with statistics (power of statistical tests) we can define the probability of success as a power of the Monitoring System Self‐Protection (MSSP). A new simple method for assessing the MSSP power is presented. The MSSP is important for monitoring system maintenance and the optimal placement of additional instruments. It shows which primary variables are self‐checked by the redundancy of the system and which should be checked (calibrated) independently. The problem is illustrated by an example taken from one nuclear power station. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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