4.6 Article

Feature extraction and fault severity classification in ball bearings

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Mechanical

Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet

Jinglong Chen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)

Article Computer Science, Artificial Intelligence

ANN- and ANFIS-based multi-staged decision algorithm for the detection and diagnosis of bearing faults

Huseyin Metin Ertunc et al.

NEURAL COMPUTING & APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

Fault features extraction for bearing prognostics

Ruoyu Li et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2012)

Article Computer Science, Artificial Intelligence

Fault diagnosis of ball bearings using machine learning methods

P. K. Kankar et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Acoustics

Rolling element bearing fault diagnosis using autocorrelation and continuous wavelet transform

P. K. Kankar et al.

JOURNAL OF VIBRATION AND CONTROL (2011)

Article Computer Science, Artificial Intelligence

An intelligent fault diagnosis method based on wavelet packer analysis and hybrid support vector machines

Guang-Ming Xian et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Engineering, Mechanical

An investigation of rolling element vibrations caused by local defects

H. Arslan et al.

JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME (2008)

Article Engineering, Mechanical

Effect of localized faults on chaotic vibration of rolling element bearings

S. H. Ghafari et al.

NONLINEAR DYNAMICS (2008)

Article Engineering, Mechanical

Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine

S. Abbasion et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)

Review Engineering, Mechanical

Support vector machine in machine condition monitoring and fault diagnosis

Achmad Widodo et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)

Article Computer Science, Artificial Intelligence

Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems

Abhinav Saxena et al.

APPLIED SOFT COMPUTING (2007)

Article Automation & Control Systems

Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel

B Üstün et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2006)

Article Computer Science, Artificial Intelligence

Neuro-fuzzy approach to gear system monitoring

W Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2004)

Article Engineering, Mechanical

Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

B Samanta

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)

Article Automation & Control Systems

Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection

B Samanta et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)

Article Computer Science, Artificial Intelligence

The support vector machine under test

D Meyer et al.

NEUROCOMPUTING (2003)