Journal-bearing fault detection based on vibration analysis using feature selection and classification techniques
暂无分享,去创建一个
[1] Reshma Khemchandani,et al. Twin Support Vector Machines for Pattern Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Mahmoud Omid,et al. Vibration-based fault diagnosis of hydraulic pump of tractor steering system by using energy technique. , 2009 .
[3] Bo-Suk Yang,et al. Support vector machine in machine condition monitoring and fault diagnosis , 2007 .
[4] P. S. S. Srinivasan,et al. NEW APPROACH OF CLASSIFICATION OF ROLLING ELEMENT BEARING FAULT USING ARTIFICIAL NEURAL NETWORK , 2010 .
[5] Naim Baydar,et al. A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution. , 2001 .
[6] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[7] Mahmoud Omid,et al. An Intelligent Combined Method Based on Power Spectral Density, Decision Trees and Fuzzy Logic for Hydraulic Pumps Fault Diagnosis , 2008 .
[8] Biao Huang,et al. Detection of abrupt changes of total least squares models and application in fault detection , 2001, IEEE Trans. Control. Syst. Technol..
[9] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[10] R. Randall,et al. OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS , 2000 .
[11] J. Srinivas,et al. Coupled torsional-lateral vibration analysis of geared shaft systems using mode synthesis , 2003 .
[12] Ibrahim Esat,et al. A NEW APPROACH TO TIME-DOMAIN VIBRATION CONDITION MONITORING: GEAR TOOTH FATIGUE CRACK DETECTION AND IDENTIFICATION BY THE KOLMOGOROV–SMIRNOV TEST , 2001 .
[13] Hojjat Ahmadi,et al. Fault Diagnosis of Journal-Bearing of Generator Using Power Spectral Density and Fault Probability Distribution Function , 2011 .
[14] Sanjay S. Gharde,et al. Support Vector Machine for Handwritten Devanagari Numeral Recognition , 2010 .
[15] Jong-Duk Son,et al. Decision-level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal , 2008, Expert Syst. Appl..
[16] Victor Wowk,et al. Machinery Vibration: Measurement and Analysis , 1991 .
[17] H. Ahmadi,et al. Implementing discrete wavelet transform and artificial neural networks for acoustic condition monitoring of gearbox , 2012 .
[18] Martin Brown,et al. Network Performance Assessment for Neurofuzzy Data Modelling , 1997, IDA.
[19] A. Moosavian,et al. Condition monitoring of engine journal-bearing using power spectral density and support vector machine , 2012 .
[20] K. R. Al-Balushi,et al. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection , 2003 .
[21] Yang Song,et al. IKNN: Informative K-Nearest Neighbor Pattern Classification , 2007, PKDD.