Results 11 to 20 of about 2,331,494 (299)
Sensors, 2023 The further identification of fault types for single line-to-ground faults (SLGFs) in distribution networks is conducive to determining the cause of grounding faults and formulating targeted measures for hidden danger treatment and fault prevention.
Jiajun Liu +4 more
doaj +2 more sources
From Fault Classification to Fault Tolerance for Multi-Agent Systems
, 2013 Faults are a concern for Multi-Agent Systems (MAS) designers, especially if the MAS are built for industrial or military use because there must be some guarantee of dependability. Some fault classification exists for classical systems, and is used to define faults. When dependability is at stake, such fault classification may be used from the beginning
Katia Potiron +2 more
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A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. [PDF]
Sensors (Basel), 2021 Fault diagnosis and classification for machines are integral to condition monitoring in the industrial sector. However, in recent times, as sensor technology and artificial intelligence have developed, data-driven fault diagnosis and classification have ...
Toma RN, Piltan F, Kim JM.
europepmc +2 more sources
Fault classification using an Artificial Neural Network based on Vibrations from a Reciprocating Compressor [PDF]
, 2010 Reciprocating compressors are widely used in industry for various purposes and faults occurring in them can degrade performance, consume additional energy, and even cause severe damage to the machine.
Gu, Fengshou, Ahmed, Mahmud
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Failure and fault classification for smart grids
Energy Informatics, 2022 AbstractSmart grid (SG) has been designed as a response to the limitations of traditional power grids caused by growing power supply demands. SG is considered a critical infrastructure in which dependability plays a crucial role and manifestation of failures can lead to severe consequences.
Zuzana Krivohlava +2 more
openaire +3 more sources
Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification [PDF]
, 2000 The problem of distinguishing and classifying the responses of analog integrated circuits containing catastrophic faults has aroused recent interest. The problem is made more difficult when parametric variations are taken into account. Hence, statistical
Chalk, C D +7 more
core +1 more source
Power System Fault Classification and Prediction Based on a Three-Layer Data Mining Structure
IEEE Access, 2020 In traditional fault diagnosis methods in power systems, it is difficult to accurately classify and predict the types of faults. With the emergence of big data technology, the fault classification and prediction methods based on big data analysis and ...
Yunliang Wang +3 more
doaj +1 more source
Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines [PDF]
Reciprocating compressors play a major part in many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down.
Gu, Fengshou +4 more
core +4 more sources
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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Machines, 2023 The use of deep learning for fault diagnosis is already a common approach. However, integrating discriminative information of fault types and scales into deep learning models for rich multitask fault feature diagnosis still deserves attention.
Ruihao Xin +4 more
doaj +1 more source