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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Optimizing Maintenance Strategies in Power Generation: Embracing Predictive and Preventive Approaches
In the high-stakes world of power generation, ensuring continuous operation and reducing downtime are central priorities. With the increasing complexity of power generation systems, maintenance practices are evolving to meet these demands more efficiently. Understanding the roles of Predictive Maintenance (PdM), Preventive Maintenance (PM), and Reactive Maintenance (Run-to-Failure) is crucial for maintenance professionals in the energy sector to make informed decisions about equipment management and long-term operational strategy.
Antonio Ballesteros, Radian Sanda, Michael Maqua, Jean-Luc Stephan
Nuclear Science and Engineering | Volume 184 | Number 4 | December 2016 | Pages 575-583
Technical Paper | doi.org/10.13182/NSE16-80
Articles are hosted by Taylor and Francis Online.
An in-depth analysis of maintenance-related events was performed by screening four different databases. The events cover the period 2002 to 2013. A total of 921 events were selected for analysis. An examination of the selected events resulted in their classification into nine categories or groups (e.g., plant state, type of maintenance, affected component, root cause, etc.). For further analyses, the categories were divided into families and, if necessary, into subfamilies. One of the event classifications was according to the type of maintenance (periodic, predictive, planned, and corrective). The data analysis indicated that 47% of the events reported were related to periodic maintenance. The main affected components were valves (with 33% of the events), followed by electric power components (23%). The main root causes observed are maintenance performed incorrectly (27%), deficiencies in written procedures or documents (19%), and deficiencies in management or organization (17%). Regarding the impact on safety, the dominant family is potential effects on safety function (57%), followed by significant effect on operation (20%).