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In this review article, we present an overview of recent developments in OSFD methods. We begin by discussing the motivations of OSFD, and then introduce a ...
Abstract—Open set fault diagnosis (OSFD) refers to the task of identifying faults in a system where the set of possible faults is not.
Open Set Recognition Methods for Fault Diagnosis: A Review
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To overcome all existing drawbacks of fault location identification. Utilizing phasor measurement units, an algorithm is proposed to identify and locate faults ...
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Mar 1, 2024 · In this study, a novel nuclear power plant OSR fault diagnosis framework based on Convolutional Prototype Learning (CPL) is proposed
Nov 13, 2024 · In our method, we firstly train a neural network for normal closed set fault diagnosis. Then we compare the feature maps of testing samples ...
The proposed method involves training a classifier to rate the similarity between unknown data and the stored knowledge, and using this similarity rating to ...
Sep 1, 2024 · A data-driven fault diagnosis method for nuclear power plant is proposed. This method achieves open set compound fault recognition for system-level faults.
This paper presents a method to recognize open set samples without changing the neural network architecture, the training process, nor the trained models. In ...
This paper provides a comprehensive survey of existing open set recognition techniques covering various aspects ranging from related definitions, ...
In this study, a novel nuclear power plant OSR fault diagnosis framework based on Convolutional Prototype Learning (CPL) is proposed, in which CPL is used to ...