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On moving fast and breaking things
Craig Piercycpiercy@ans.org
So much of what is happening in federal nuclear policy these days seems driven by a common approach popularized in the technology sector. Silicon Valley calls it “move fast and break things,” a phrase originally associated with Facebook’s early culture under Mark Zuckerberg. The idea emerged in the early 2000s as software companies discovered that rapid iteration, frequent experimentation, and a willingness to tolerate failure could dramatically accelerate innovation. This philosophy helped drive the growth of the social media, smartphones, cloud computing, and digital platforms that now underpin modern economic and social life.
Today, that mindset is also influencing federal nuclear policy. The Trump administration views accelerated nuclear deployment as part of a broader competition with China for technological and AI leadership. In that context, it seems willing to accept greater operational risk in pursuit of strategic advantage and long-term economic and security objectives.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Tuesday, June 15, 2021|4:30–6:15PM EDT
Session Chair:
Fan Zhang (University of Tennessee-Knoxville)
Alternate Chair:
Jamie B. Coble (University of Tennessee-Knoxville)
Session Organizer:
Staff Producer:
Ashley Jiminian (ANS)
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Presentation Video (Visible to Attendees) — Dr. Xiao
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Artificial Reasoning System for Symptom-Based Conditional Failure Probability Estimation Using Bayesian Network
Xingang Zhao (ORNL), Michael Golay (MIT)
Paper
Nuclear Power Prognostic Model Assessment for Component Health Monitoring
Pradeep Ramuhalli (ORNL), Cody Walker (INL), Vivek Agarwal (INL), Nancy Lybeck (INL)
Multi-Fault System Prognostics of Maintenance Dependent Processes in Nuclear Power Plants
Hang Xiao (Univ. of Tennessee Knoxville), Alex Hines (Univ. of Tennessee Knoxville), Fan Zhang (Univ. of Tennessee Knoxville), Jamie B. Coble (Univ. of Tennessee Knoxville), J. Wes Hines (Univ. of Tennessee Knoxville)
Combining System Architecture Modelling with Dynamic Process Simulation for Early Stage Fault and Effect Analysis
Joonas Linnosmaa (VTT Technical Research Centre of Finland), André A. Hauge (Institute for Energy Technology), Fabien Sechi (Institute for Energy Technology), Miki Sirola (Aalto Univ.)
A Process to Assess Latent Failure Risk in Sequential Control Logic During a FMEA
M. McCarthy (Kinectrics), D. K. Masrani (Kinectrics), A. Vieira (Kinectrics)
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