A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault

Condition monitoring of induction motors via instantaneous power analysis

(2015) Muhammad Irfan et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Machinery condition prediction based on wavelet and support vector machine

(2015) Shujie Liu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Bearing fault diagnosis using multiclass support vector machines with binary particle swarm optimization and regularized Fisher’s criterion

(2014) Ridha Ziani et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning

(2014) Manjeevan Seera et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Detection of defective embedded bearings by sound analysis: a machine learning approach

(2014) Mario A. Saucedo-Espinosa et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Multi-objective modeling for preventive maintenance scheduling in a multiple production line

(2013) V. Ebrahimipour et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination

(2013) Hongkun Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An insight concept to select appropriate IMFs for envelope analysis of bearing fault diagnosis

(2012) Wen-Chang Tsao et al.   MEASUREMENT

Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)

(2011) P. Konar et al.   APPLIED SOFT COMPUTING

A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments

(2011) K.C. Gryllias et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Induction motors bearing fault detection using pattern recognition techniques

(2011) Jafar Zarei   EXPERT SYSTEMS WITH APPLICATIONS

Identification of bearing faults using time domain zero-crossings

(2011) P.E. William et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines

(2011) Qingbo He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of ball bearings using continuous wavelet transform

(2010) P.K. Kankar et al.   APPLIED SOFT COMPUTING

Mechanical failure classification for spherical roller bearing ofhydraulic injection molding machine using DWT–SVM

(2010) Guang-ming Xian   EXPERT SYSTEMS WITH APPLICATIONS

Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

(2010) M. Saimurugan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effect of number of features on classification of roller bearing faults using SVM and PSVM

(2010) V. Sugumaran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)

(2009) N. Saravanan et al.   APPLIED SOFT COMPUTING

Precise wavelet for current signature in 3ϕϕ IM

(2009) S. Radhika et al.   EXPERT SYSTEMS WITH APPLICATIONS

Applications of fault diagnosis in rotating machinery by using time series analysis with neural network

(2009) Chun-Chieh Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of Generalized-Roughness Bearing Fault by Spectral-Kurtosis Energy of Vibration or Current Signals

(2009) F. Immovilli et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A novel technique for selecting mother wavelet function using an intelli gent fault diagnosis system

(2008) J. Rafiee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis

(2008) Jiyong Tan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING