Work

Automated Diagnostics of Control Rod Drive Mechanisms with Machine Learning

Year: 2023

Type: conference-paper

Source: Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT)

DOI: 10.13182/npichmit23-41093

Authors: Brent Shumaker, Christopher Guillotte, Brian Moazen, Zachary Becker, Chad Kiger

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4388209552

FWCI:

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