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The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
W. M. Stacey
Fusion Science and Technology | Volume 52 | Number 1 | July 2007 | Pages 29-67
Technical Paper | doi.org/10.13182/FST07-A1485
Articles are hosted by Taylor and Francis Online.
The strong temperature dependence, over certain temperature ranges, of the radiation cooling rate of low-Z impurities, of the atomic physics cooling and particle source rates associated with recycling and fueling neutrals, of the ion-electron recombination particle loss rate, of the turbulent transport loss rate, and of the fusion alpha-particle heating rate have all been identified as "drivers" of thermal instabilities in the coupled plasma particle, momentum, and energy balances. This paper surveys the experimental observations of a number of abrupt transition phenomena in plasma operating conditions - i.e., density-limit disruptions, multifaceted asymmetric radiations from the edge (MARFEs), divertor MARFEs, detachment, in-out divertor heat flux asymmetries, H-L and L-H transitions, confinement, and pedestal deterioration - or anticipated in future reactors - i.e., power excursions - their theoretical interpretations in terms of thermal instabilities driven by the temperature dependence of various radiative and atomic physics cooling mechanisms, and a comparison of theoretical prediction with experimental observations. Also surveyed are theoretical predictions of thermal instabilities in the power balance driven by the strong positive temperature dependence of the fusion heating rate.