Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN [PDF]
, 2016 In recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid.
Saini, D. (Deepak) +2 more
core +3 more sources
Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis [PDF]
, 2020 © 2020 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.Bearing vibration signals contain non-linear and non-stationary features due to ...
Huo, Zhiqiang +3 more
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Transient fault area location and fault classification for distribution systems based on wavelet transform and Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2018 A novel method to locate the zone of transient faults and to classify the fault type in Power Distribution Systems using wavelet transforms and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) has been developed.
Ghazizadeh-Ahsaee, Mahdi +3 more
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Experimental set-up for investigation of fault diagnosis of a centrifugal pump [PDF]
, 2017 Centrifugal pumps are complex machines which can experience different types of fault. Condition monitoring can be used in centrifugal pump fault detection through vibration analysis for mechanical and hydraulic forces. Vibration analysis methods have the
Ali Saud Al Tobi, Maamer +4 more
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A New Scheme for Fault Detection and Classification Applied to DC Motor
Trends in Computational and Applied Mathematics, 2018 This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection, the fault classification is started.
Laércio I. Santos +5 more
doaj +1 more source
Hydraulic Rock Drill Fault Classification Using X−Vectors
Mathematics, 2023 Hydraulic rock drills are widely used in drilling, mining, construction, and engineering applications. They typically operate in harsh environments with high humidity, large temperature differences, and vibration.
Huixuan Ling +4 more
doaj +1 more source
A Review of Fault Diagnosing Methods in Power Transmission Systems [PDF]
, 2020 Transient stability is important in power systems. Disturbances like faults need to be segregated to restore transient stability. A comprehensive review of fault diagnosing methods in the power transmission system is presented in this paper.
Akmal, Muhammad +3 more
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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
An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition [PDF]
, 2010 This paper suggests an automated approach for fault detection and classification in roller bearings, which is based on pattern recognition and principal components analysis of the measured vibration signals.
Trendafilova, I.
core +1 more source
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