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What’s the most difficult question you’ve been asked as a maintenance instructor?
Blye Widmar
"Where are the prints?!"
This was the final question in an onslaught of verbal feedback, comments, and critiques I received from my students back in 2019. I had two years of instructor experience and was teaching a class that had been meticulously rehearsed in preparation for an accreditation visit. I knew the training material well and transferred that knowledge effectively enough for all the students to pass the class. As we wrapped up, I asked the students how they felt about my first big system-level class, and they did not hold back.
“Why was the exam from memory when we don’t work from memory in the plant?” “Why didn’t we refer to the vendor documents?” “Why didn’t we practice more on the mock-up?” And so on.
Xiaoxu Diao, Yunfei Zhao, Mike Pietrykowski, Zhuoer Wang, Shannon Bragg-Sitton, Carol Smidts
Nuclear Technology | Volume 202 | Number 2 | May-June 2018 | Pages 106-123
Technical Paper | doi.org/10.1080/00295450.2018.1426963
Articles are hosted by Taylor and Francis Online.
This paper studies the propagation and effects of faults in critical components that pertain to the secondary loop of a nuclear power plant found in nuclear hybrid energy systems (NHESs). This information is used to design an online monitoring (OLM) system that is capable of detecting and analyzing faults that are likely to occur during NHES operation. In this research, the causes, features, and effects of possible faults are investigated by simulating the propagation of faults in the secondary loop of a nuclear power plant. The simulation is conducted using Integrated System Failure Analysis (ISFA), a promising method analyzing hardware and software faults during the conceptual design phase. First, the models of system components required by ISFA are constructed. Then, fault propagation analysis is implemented, which is conducted under the bounds set by acceptance criteria derived for the design of an OLM system. The result of the fault simulation is utilized to evaluate the effectiveness of signals for fault detection and diagnosis and to propose an optimization plan for the OLM system. Finally, several experiments are designed and conducted using a hardware-in-the-loop system to verify the correctness and effectiveness of the proposed method.