Tytuł artykułu

Local Fault Assessment in a Helical Geared System via Sound and Vibration Parameters Using Multiclass SVM Classifiers

Tytuł czasopisma

Archives of Acoustics




No 3

Autorzy publikacji

Wydział PAN

Nauki Techniczne


Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society




ISSN 0137-5075 ; eISSN 2300-262X


Chen (2002), Classification of wavelet patterns using multilayer neural networks and, Mech Syst Signal Process, 16, 695, ; Cormick (1997), Classification of the rotating machine condition using artificial neural networks Part, Proc Instn Mech Engrs, 211. ; Banerjee (2012), Multi - sensor data fusion using support vector machine for motor fault detection, Information Sciences, 96, 217. ; Sugumaran (2007), Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing, Mech Syst Signal Process, 21, 930, ; Aditya (2016), Feature Extraction and Fault Severity Classification in Ball Bearings of Vibration and Control, Journal, 22, 176. ; Amarnath (2014), Local fault detection in helical gears via vibration and acoustic signals using EMD based statistical parameter analysis, Measurement, 58, 154, ; Samanta (2004), Gear fault diagnosis using artificial neural networks and support vector mechanics with genetic algorithms and, Mech Syst Signal Process, 18, 625, ; Collobert (2001), Suport vector machines for large scale regression problems of machine learning research, Journal, 1, 143. ; Hu (2007), Fault diagnosis of rotating machinery based on improved Wavelet packet transform and SVMs ensemble, Mech Syst Signal Process, 21, 688, ; Wang (1995), Application of orthogonal wavelets to early gear damage detection, Mech Syst Signal Process, 5, 497, ; Staszewski (1997), Time - frequency analysis in gearbox fault detection using the Wigner - ville distribution and pattern recognition, Mech Syst Signal Process, 11, 673692, ; Murray (1997), Extraction of useful higher order features for condition monitoring using artificial neural networks on signal, IEEE Trans process, 45, 2821, ; Amarnath (2013), Exploiting sound signals for fault diagnosis of bearings using decision tree, Measurement, 46, 12501256, ; Yang (2005), Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines, Mech Syst Signal Process, 19, 371, ; Yang (2002), Third order spectral technique for the diagnosis of motor bearing conditions using artificial neural network, Mech Syst Signal Process, 16, 391, ; Paya (1999), Artificial neural network based fault diagnostics of rotating machinery using wavelet transform as a preprocessor, East Mech Syst Signal Process, 11, 751, ; Wuxing (2004), Classification of gear faults using cumulants and the radial basis function, Mech Syst Signal Process, 18, 381, ; Yuan (2006), Support vector machines - based fault diagnosis for turbo - pump rotor, Mech Syst Signal Process, 20, 939, ; Demuth (1998), User s guide for neural network toolbox for use with MATLAB The Mathworks Inc, Natick, 3. ; Shin (2005), One class support vector machines - an application in fault detection and classification Computer and, Industrial Engineering, 48, 395,