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The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Dieter H. Wach
Nuclear Technology | Volume 141 | Number 1 | January 2003 | Pages 54-62
Technical Paper | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies | doi.org/10.13182/NT03-A3349
Articles are hosted by Taylor and Francis Online.
The recent publication of an international standard on vibration monitoring of reactor internal structures (IEC 61502, standard of the International Electrotechnical Commission) concludes a long-standing development of methods for a new type of nuclear power plant instrumentation and control system. This new system differs from traditional monitoring systems, as it is aimed primarily at early failure detection. Useful information is provided to plant operators, but in particular to the inspection/maintenance personnel. Powerful modern computer technology allows - in an effective manner - correlation and spectral analysis, feature extraction and trending, alert level monitoring, and remote data/signature transmission of dynamic process signals such as neutron noise, vibration signals, pressure noise, etc. The signature and feature trends are stored in a central databank and form a useful reference for assessment of components and systems in case of actual incipient failure development or at the estimated end of the plant lifetime as part of the aging condition assessment measures.The standard IEC 61502 is used as an example for early failure detection and on-line condition monitoring methods based on signature analysis and feature vector monitoring in general. The reasons/background for structuring this particular standard in a mandatory and an optional part as well as the resulting consequences are explained. But emphasis is also placed on demonstration of the principles, i.e., measurement analysis and usefulness of such methods for maintenance and refurbishment strategies. The transferability of the methods is discussed when applied for other tasks, for instance, for condition/aging assessment of process instrumentation.