TitleRecognition of Acoustic Signals of Induction Motors with the Use of MSAF10 and Bayes Classfier
Journal titleArchives of Metallurgy and Materials
NumerNo 1 March
Divisions of PASNauki Techniczne
PublisherInstitute of Metallurgy and Materials Science of Polish Academy of Sciences ; Commitee on Metallurgy of Polish Academy of Sciences
ReferencesKrolczyk (2014), Effect of the disc processing technology on the vibration level of the chipper during operations Tehnicki Vjesnik - Technical, Gazette, 21, 447. ; Tadeusiewicz (2010), Place and Role of Intelligent Systems in Computer Science Computer Methods in Materials, Science, 10, 193. ; Valis (2014), Utilization of diffusion processes and fuzzy logic for vulnerability assessment Eksploatacja i Niezawodnosc - Maintenance and, Reliability, 16, 48. ; Augustyniak (2014), Seamless Tracing of Human Behavior Using Complementary Wearable and House - Embedded Sensors, Sensors, 14, 7831, doi.org/10.3390/s140507831 ; Li (2015), Bearing fault diagnosis based on adaptive mutiscale fuzzy entropy and support vector machine of, Journal Vibroengineering, 17, 1188. ; Stepien (2015), Defining the criteria to select the wavelet type for the assessment of surface quality Tehnicki Vjesnik - Technical, Gazette, 22, 781. ; Hachaj (2012), Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps Computational Intelligence Paradigms in Advanced Pattern Classification Book Series : Studies in, Computational Intelligence, 386. ; Saavedra (2014), Detection of Inter - turn Faults in Five - Phase Permanent Magnet Synchronous Motors Advances in Electrical and Computer, Engineering, 14, 49. ; Valis (2016), Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance Reliability Engineering & System, Safety, 145, 231. ; Costa (2014), da Rotor Failure Diagnosis of Induction Motors by Wavelet Transform and Fourier Transform in Function of the Load International Conference on Computer Science and Artificial, Intelligence, 109. ; Wang (2015), Fault Correspondence Analysis in Complex Electric Power Systems Advances in Electrical and Computer, Engineering, 15, 11. ; Jedlinski (2015), Application of vibration signal in the diagnosis of IC engine valve clearance of, Journal Vibroengineering, 17, 175. ; Wang (2015), Bearing fault diagnosis method based on Hilbert envelope spectrum and deep belief network of, Journal Vibroengineering, 17, 1295. ; Regulski (2014), Data exploration approach versus sensitivity analysis for optimization of metal forming processes Material Forming Esaform Book Series : Key, Engineering Materials, 611. ; Bedkowski (2015), The innovative design concept of thermal model for the calculation of the electromagnetic circuit of rotating electrical machines Eksploatacja i Niezawodnosc - Maintenance and, Reliability, 17, 481. ; Pietrucha (2015), Failure analysis and assessment on the exemplary water supply network Failure, Engineering Analysis, 57, 137, doi.org/10.1016/j.engfailanal.2015.07.036 ; Ning (2015), Shocking fault component of abnormal sound signal in the fault engine extract method based on linear superposition method and cross - correlation analysis Advances in Mechanical, Engineering, 7. ; Nawarecki (2012), Multi - aspect Character of the Man - Computer Relationship in a Diagnostic - Advisory System Human - computer systems interaction : Backgrounds and applications Book Series : Advances in Intelligent and Soft, Computing, 98, 1. ; Wegiel (2007), A distributed system of signal acquisition for induction motors diagnostic IEEE International Symposium on Diagnostics for Electric Machines Electronics & Drives Cracow, Power, 261. ; Pleban (2014), Definition and Measure of the Sound Quality of the Machine of, Archives Acoustics, 39, 17. ; Stepien (2014), Research on a surface texture analysis by digital signal processing methods Tehnicki Vjesnik - Technical, Gazette, 21, 485. ; Glowacz (2007), Simulation language for analysis of discrete - continuous electrical systems th IASTED International Conference on Modelling Identification and Control Location : Innsbruck, Austria, 26. ; Barglik (2014), modeling of induction hardening of gear wheels of Computational and, Journal Applied Mathematics, 270, 231. ; Krolczyk (2014), An attempt to predict quality changes in a tencomponent granular system Tehnicki Vjesnik - Technical, Gazette, 21, 255. ; Kulka (2011), Advances in Digitization of Microphones and Loudspeakers of, Archives Acoustics, 36, 419, doi.org/10.2478/v10168-011-0030-z ; Glowacz (2015), Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT MSAF and LSVM of, Archives Acoustics, 5, 197. ; Hreha (2015), Roughness Parameters Calculation By Means Of On - Line Vibration Monitoring Emerging From AWJ Interaction With Material and Measurement, Metrology Systems, 22, 315. ; Brocki (2015), Deep Belief Neural Networks and Bidirectional Long - Short Term Memory Hybrid for Speech Recognition of, Archives Acoustics, 40, 191, doi.org/10.1515/aoa-2015-0021 ; Jun (2014), Investigations of Thermocouple Drift Irregularity Impact on Error of their Inhomogeneity Correction, Measurement Science Review, 14, 29. ; Izadbakhsh (2015), Dynamic response improvement of hybrid system by implementing ANN - GA for fast variation of photovoltaic irradiation and FLC for wind turbine of, Archives Electrical Engineering, 64, 291, doi.org/10.1515/aee-2015-0024 ; Thalji (2015), A summary of fault modelling and predictive health monitoring of rolling element bearings Mechanical Systems and Signal, Processing, 60, 61. ; Kupiec (2015), Magnetic equivalent circuit model for unipolar hybrid excitation synchronous machine of, Archives Electrical Engineering, 64, 107, doi.org/10.1515/aee-2015-0010 ; Marzec (2015), Methods of face localization in thermograms and, Biocybernetics Biomedical Engineering, 35, 138, doi.org/10.1016/j.bbe.2014.09.001 ; Duspara (2014), Acoustic emission as tool wear monitoring Tehnicki Vjesnik - Technical, Gazette, 21, 1097. ; Glowacz (2015), Diagnostics of separately excited DC motor based on analysis and recognition of signals using FFT and Bayes classifier of, Archives Electrical Engineering, 64, 29, doi.org/10.1515/aee-2015-0004 ; Glowacz (2008), Sound recognition of dc machine with - application of FFT and backpropagation neural network, Przeglad Elektrotechniczny, 84, 159. ; Michalak (2013), Analysis of the longwall conveyor chain based on a harmonic analysis Eksploatacja i Niezawodnosc - Maintenance and, Reliability, 15, 332. ; Kundegorski (2014), Two - Microphone Dereverberation for Automatic Speech Recognition of Polish of, Archives Acoustics, 39, 411. ; Glowacz (2015), Recognition of Thermal Images of Direct Current Motor with Application of Area Perimeter Vector and Bayes Classifier, Measurement Science Review, 15, 119, doi.org/10.1515/msr-2015-0018 ; Irfan (2015), An online condition monitoring system for induction motors via instantaneous power analysis of Mechanical Science and, Journal Technology, 29, 1483. ; Roj (2015), Method of Measurement of Capacitance and Dielectric Loss Factor Using Artificial Neural Networks, Measurement Science Review, 15, 127, doi.org/10.1515/msr-2015-0019 ; Saidi (2015), Application of higher order spectral features and support vector machines for bearing faults classification, ISA Transactions, 54, 193, doi.org/10.1016/j.isatra.2014.08.007 ; Zhang (2014), A Novel Approach to Fault Detection in Complex Electric Power Systems Advances in Electrical and Computer, Engineering, 14, 27.