A fast fault classification technique for power systems [PDF]
, 2014 This paper proposes a fast fault classification technique using three phase current signals for power systems. Digital Fourier Transform, the ‘Least Square’ method or the Kalman Filtering technique are used to extract fundamental frequency components of ...
Nouri, Hassan, Wang, Chun
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A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals [PDF]
, 2013 Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of
Chen, Zhi +5 more
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Advances in Electrical and Computer Engineering, 2022 The paper work aims to extract effectively the fault feature information of analog integrated circuits and to improve the performance of a fault classification process. Thus, a fault classification method based on principal component analysis (PCA) and
LAIDANI, I., BOUROUBA, N.
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Induction machine fault detection enhancement using a stator current high resolution spectrum [PDF]
, 2012 Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation techniques have been developed and used to detect induction machine abnormal operating ...
CHARPENTIER, Jean-Frederic +8 more
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill
Journal of Control Science and Engineering, 2018 For rolling mill machines, the operation status of bearing has a close relationship with process safety and production effectiveness. Therefore, reliable fault diagnosis and classification are indispensable.
Bo Qin, Luyang Zhang, Heng Yin, Yan Qin
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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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An adaptive artificial immune system for fault classification
Journal of Intelligent Manufacturing, 2010 Fault diagnosis is very important in ensuring safe and reliable operation in manufacturing systems. This paper presents an adaptive artificial immune classification approach for diagnosis of induction motor faults. The proposed algorithm uses memory cells tuned using the magnitude of the standard deviation obtained with average affinity variation in ...
Ilhan Aydin +2 more
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Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]
, 2010 This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk +3 more
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IET Smart GridFaults in power transmission systems pose significant challenges due to the complexity and length of transmission lines. Effective fault detection, classification and location are essential for preventing further damage to the power grid.
Ehsan Akbari, Milad Samady Shadlu
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Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping [PDF]
, 2013 Electrical motor stator current signals have been widely used to monitor the condition of induction machines and their downstream mechanical equipment. The key technique used for current signal analysis is based on Fourier transform (FT) to extract weak ...
Gu, Fengshou +6 more
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