4.6 Article

An intelligent system for faulty-bearing detection based on vibration spectra

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Condition Assessment of Power OLTC by Vibration Analysis Using Wavelet Transform

Edwin Rivas et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2009)

Review Engineering, Mechanical

Bearing signature analysis as a medium for fault detection: A review

M. S. Patil et al.

JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME (2008)

Article Acoustics

Early Detection of Rolling Bearing Defect by Demodulation of Vibration Signal Using Adapted Wavelet

X. Chiementin et al.

JOURNAL OF VIBRATION AND CONTROL (2008)

Review Engineering, Mechanical

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Andrew K. S. Jardine et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)

Article Computer Science, Artificial Intelligence

Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis

BS Yang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2004)

Article Engineering, Electrical & Electronic

Bearing fault detection using artificial neural networks and genetic algorithm

B Samanta et al.

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING (2004)

Article Acoustics

A complex filter for vibration signal demodulation in bearing defect diagnosis

YT Sheen

JOURNAL OF SOUND AND VIBRATION (2004)

Article Engineering, Mechanical

Bearing fault diagnosis based on wavelet transform and fuzzy inference

XS Lou et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)

Article Instruments & Instrumentation

Bearing fault diagnosis using multi-layer neural networks

L Wang et al.

INSIGHT (2004)

Article Engineering, Mechanical

Constructing a wavelet-based envelope function for vibration signal analysis

YT Sheen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)

Article Engineering, Manufacturing

Fault diagnosis system for rotary machine based on fuzzy neural networks

S Zhang et al.

JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING (2003)

Article Engineering, Mechanical

Artificial neural network based fault diagnostics of rolling element bearings using time-domain features

B Samanta et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2003)

Article Engineering, Electrical & Electronic

Self-commissioning training algorithms for neural networks with applications to electric machine fault diagnostics

RM Tallam et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2002)

Article Engineering, Mechanical

Multiple band-pass autoregressive demodulation for rolling-element bearing fault diagnosis

J Altmann et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2001)

Article Acoustics

Wavelet analysis and envelope detection for rolling element bearing fault diagnosis - Their effectiveness and flexibilities

PW Tse et al.

JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2001)

Letter Engineering, Mechanical

The optimal usage of the Fourier transform for pattern recognition

L Gelman et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2001)

Review Computer Science, Artificial Intelligence

Neuro-fuzzy rule generation: Survey in soft computing framework

S Mitra et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)