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55th annual Nuclear News Buyers Guide now available
For American Nuclear Society members and Nuclear News subscribers, the 2024 Buyers Guide is now available in the ANS Digital Nuclear Library. The print version will be mailed along with the May “Capacity Factors/Nuclear Security” issue of Nuclear News magazine.
The corresponding ANS online Buyers Guide database is available year-round to all readers—updated with the latest products, services, and suppliers contact information for more than 600 nuclear-related companies.
Jiro Wakabayashi, Shin-Ichi Tashima, Akio Gofuku
Nuclear Technology | Volume 70 | Number 3 | September 1985 | Pages 343-353
Technical Paper | Fission Reactor | doi.org/10.13182/NT85-A15961
Articles are hosted by Taylor and Francis Online.
Two kinds of identification techniques for the diagnosis of disturbances in nuclear power plants have been proposed, and the applicability of these techniques to actual plants has been verified by computer experiments. In both techniques, a set of the observed signals (observed vector) obtained from an actual plant is identified with one of the categories representing a normal state, several anticipated anomalous situations, and an unanticipated anomalous state, in which the categories corresponding to the anticipated anomalous situations are classified by the kind and approximate magnitude of the anomaly source (the disturbance). The maximum likelihood technique is used in method 1. It applies to the identification of multiple anticipated disturbances that happen sequentially with some time interval, even if a plant has some nonlinear characteristics. The projective operator technique is used in method 2. It applies to the identification of any kind of multiple anticipated disturbances under the conditions of the plant having approximately linear characteristics and the observed vectors corresponding to the anticipated disturbances are linearly independent of each other.