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Mirion announces appointments
Mirion Technologies has announced three senior leadership appointments designed to support its global nuclear and medical businesses while advancing a company-wide digital and AI strategy. The leadership changes come as Mirion seeks to advance innovation and maintain strong performance in nuclear energy, radiation safety, and medical applications.
Gerald R. Mazetis, David D. Ebert
Nuclear Technology | Volume 67 | Number 3 | December 1984 | Pages 411-418
Technical Paper | Nuclear Safety | doi.org/10.13182/NT84-A33498
Articles are hosted by Taylor and Francis Online.
A method for nuclear power plant accident diagnostics using optimal control theory was investigated. A computer code, CAAD (Computer Assisted Accident Diagnostics), based on Pontryagin’s Principle, has been written and applied to single control malfunctions in nuclear power plants. Using a simplified systems model to represent power plant dynamics, the control theory in CAAD is expected to be suitable for expanding to more detailed systems applications. Results were obtained for a series of simulated plant transients that compare key state parameters to the control parameter output resulting from searches for the correct malfunction. A performance index is used as a convergence criterion upon which to define the degree of approach to the correct failure identification. The long-term goal of this methodology would be to expand to on-line computer application in reactor control rooms. Intended to be automatically initiated by a reactor accident, the malfunction search process would provide the operator with additional information to assist in identifying the most likely failure.