Tytuł artykułu

Fault Diagnosis of Three Phase Induction Motor Using Current Signal, MSAF-Ratio15 and Selected Classifiers

Tytuł czasopisma

Archives of Metallurgy and Materials




vol. 62


No 4


Wydział PAN

Nauki Techniczne


Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences




DOI: 10.1515/amm-2017-0355 ; e-ISSN 2300-1909


Archives of Metallurgy and Materials; 2017; vol. 62; No 4


Valis (2016), Perspective analysis out - comes of selected tribodiagnostic data used as input for condition based maintenance Reliability System, Engineering Safety, 145. ; Krolczyk (2014), Effect of the disc processing technology on the vibration level of the chipper during operations Technical Gazette, null, 24, 447. ; Bandyopadhyay (2016), combined image processing and Nearest Neighbor Algorithm tool for classification of incipient faults in induction motor drives, Computers Electrical Engineering, 296. ; Glowacz (2007), Simulation language for analysis of discrete - continuous electrical systems Proceedings of the th IASTED International Conference on Modelling Identification and Control Innsbruck, Austria, 30, 94. ; Liu (null), Early detection of spontaneous combustion disaster of sulphide ore stockpiles Technical Gazette, null, 17, 1579. ; Jedlinski (null), Application of vibration signal in the diagnosis of IC engine valve clearance of, Journal Vibroengineering, 23, 175. ; Glowacz (null), Recognition of armature current of DC generator depending on rotor speed using i and, Eksploatacja Niezawodnosc Maintenance Reliability, 31, 1. ; Proniewska (2014), Classification of Sleep Disordered Breathing in the Evaluation of Acoustic Sound in Correlation with the ECG Signal in Conference Series in Series, Computing Cardiology Computing Cardiology, 59. ; Barlik (2016), Estimation of power losses in a high - frequency planar transformer using a thermal camera of, Archives Electrical Engineering, 20, 613. ; Tadeusiewicz (null), networks in mining sciences - general overview and some representative examples of, Neural Archives Mining Sciences, 971. ; Cichy (null), Method of Measurement of Capacitance and Dielectric Loss Factor Using Artificial, Neural Networks Measurement Science Review, 15, 127. ; Sulowicz (null), The method of current measurement in the rotor cage bars of prototype induction motor with the use of Rogowski coils International Conference on Information and Digital Technologies, null, 357. ; Delgado (2017), Methodology for fault detection in induction motors via sound and vibration signals Mechanical Systems and Processing, Signal, 568. ; Vintr (2012), Tool for Decision Making in - out - of System Maintenance and, Applied Mechanics Materials, 110. ; Deptula (2016), Acoustic diagnostics applications in the study of technical condition of combustion engine of, Archives Acoustics, 41, 345. ; Van (2016), Hecke Low speed bearing fault diagnosis using acoustic emission sensors, Applied Acoustics, 105. ; Singh (2016), Induction motor inter turn fault detection using infrared thermographic analysis, Infrared Physics Technology, 14, 77. ; Ince (2016), Real - Time Motor Fault Detection by on, Neural Networks IEEE Transactions Industrial Electronics, 1. ; Koprowski (2016), Some selected quantitative methods of thermal image analysis in of, Journal Biophotonics, 18, 510. ; Yousefi (2016), Fault diagnosis of three - phase induction motors based on vibration and electrical current signals, null, 129. ; Prudhom (2017), Time - frequency vibration analysis for the detection of motor damages caused by bearing currents Mechanical Systems and Processing, Signal, 27, 747. ; Haddad (2016), On the Accuracy of Fault Detection and Separation in Permanent Magnet Synchronous Machines Using on, IEEE Transactions Energy Conversion, 31, 924. ; Zhang (2017), Wind Prediction Based on Model with Error Correction in and, Power Advances Electrical Computer Engineering, 17, 1. ; Zhang (2016), Time - varying singular value decomposition for periodic transient identification in bearing fault diagnosis of and, Journal Sound Vibration, 11, 379. ; Rojek (2016), of Computational Intelligence in the Context of Quality Assurance in Foundry Products of Foundry, Methods Archives Engineering, 16, 11. ; Antonino (null), Comparative Influence of Adjacent and Non - adjacent Broken Rotor Bars on the Induction Motor Diagnosis through MCSA st Annual Conference of the IEEE Industrial Series Industrial, Methods Electronics Society IEEE Electronics Society, 39. ; Verucchi (2016), Misalignment detection in induction motors with flexible coupling by means of estimated torque analysis and Mechanical Systems and Processing, Signal, 37. ; Valis (2017), Contribution to prediction of soft and hard failure occurrence in combustion engine using oil tribo data Failure, Engineering Analysis, 583. ; Glowacz (2018), Early fault diagnosis of bearing and stator faults of the single - phase induction motor using acoustic signals, Measurement, 12, 113. ; Li (2016), Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal, review Measurement, 21, 4. ; Ghassabeh (null), Fast incremental feature extraction, Pattern Recognition, 48, 1999. ; Yang (2016), Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data on and, IEEE Transactions Instrumentation Measurement, 549. ; Walenczykowska (2016), Type of modulation identification using Wavelet Transform and Neural Network of the of -, Bulletin Polish Academy Sciences Technical Sciences, 1. ; Glowacz (2017), Diagnosis of stator faults of the single - phase induction motor using acoustic signals Part, Applied Acoustics, 117. ; Sawczuk (2017), Diagnostics of the railway friction disc brake based on the analysis of the vibration signals in terms of resonant frequency of, Archive Applied Mechanics, 25, 87. ; Adamczak (2017), Comparative study of measurement systems used to evaluate vibrations of rolling bearings, Engineering, 29, 192. ; Sawczuk (2017), The Application of Vibration Accelerations in the Assessment of Average Friction Coefficient of a Railway Brake Disc, Measurement Science Review, 28, 125. ; Glowacz (2016), Diagnostics of Rotor Damages of Three - Phase Induction Motors Using Acoustic Signals and EXPANDED of, Archives Acoustics, 13, 507. ; Glowacz (2012), Diagnostics of Direct Current generator based on analysis of monochrome infrared images with the application of cross - sectional image and nearest neighbor classifier with Euclidean distance, Przeglad Elektrotechniczny, 154. ; Duan (2016), Segmented infrared image analysis for rotating machinery fault diagnosis, Infrared Physics Technology, 15, 77. ; Krolczyk (2016), Topographic inspection as a method of weld joint diagnostic - Technical Gazette, null, 23, 301. ; Glowacz (2017), Diagnosis of the three - phase induction motor using thermal imaging, Infrared Physics Technology, 19, 7. ; Jamroz (null), Application of multidimensional data visualization by means of self - organizing Kohonen maps to evaluate classification possibilities of various coal types of, Archives Mining Sciences, 53. ; Glowacz (null), Motor Fault Analysis with the Use of Acoustic Signals Coiflet Wavelet Transform - Nearest Neighbor Classifier of, Archives Acoustics, 40, 321. ; Camarena (2016), entropy - means method for automatic diagnosis of broken rotor bars in induction motors using vibration signals and Article Number, Shock Vibration, 26, 4860309. ; Deptula (2016), Decision support system for identifying technical condition of combustion engine of, Archives Acoustics, 41, 449. ; Hemmati (2016), Roller bearing acoustic signature extraction by wavelet packet transform applications in fault detection and size estimation, Applied Acoustics, 104, 101. ; (2017), Gas Optimization of multi - slot coaxial antennas for microwave thermotherapy based on the parameter analysis and, Biocybernetics Biomedical Engineering, 16, 78. ; Wiewiora (null), Mechanical properties of solid state recycled aluminum alloy chips METAL th International Conference on Metallurgy and Materials, null, 24, 6060. ; Jiang (2016), On the bi - dimensioal variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters Technology, Measurement Science, 22. ; Zhang (null), Wind Prediction Considering Nonlinear Atmospheric Disturbances Energies, Power, 8, 475. ; Palacios (null), da comprehensive evaluation of intelligent classifiers for fault identification in three - phase induction motors, Electric Power Systems Research, 127. ; Karandikar (null), Tool wear monitoring using naive Bayes classifiers, International Journal of Advanced Manufacturing Technology, 77. ; Michalak (2013), of the longwall conveyor chain based on a harmonic analysis i Niezawodnosc Maintenance and, Analysis Eksploatacja Reliability, 15, 332. ; Jozwik (2016), Identification and monitoring of noise sources of CNC machine tools by acoustic holography methods in and Technology - Research, Advances Science Journal, 10. ; Bazan (2017), Stator fault analysis of three - phase induction motors using information measures and artificial neural networks, Electric Power Systems Research, 143. ; Hachaj (2012), Pattern Classification for and Visualization of Maps Paradigms in Pattern Classification Book Series in, Methods Analysis Brain Perfusion Computational Intelligence Advanced Studies Computational Intelligence, 386. ; Koprowski (2016), Corneal power evaluation after myopic corneal refractive surgery using artificial neural networks Article Number, BioMedical Engineering OnLine, 15, 49.