Translation Invariant Features From Cascaded Wavelet and Fourier Transforms for Bearing Fault Pattern Recognition Using Artificial Neural Network

International Journal of Machine Learning and Computing - Singapore
doi 10.7763/ijmlc.2015.v5.475
Full Text
Abstract

Available in full text

Date
Authors
Publisher

EJournal Publishing

Related search

Fault Location on Transmission Line Using Wavelet Transform and Artificial Neural Network

IOSR Journal of Electrical and Electronics Engineering
2016English

Smoothness Estimates for Soft-Threshold Denoising via Translation-Invariant Wavelet Transforms

Applied and Computational Harmonic Analysis
Applied Mathematics
2002English

A Novel Fruit Recognition Technique Using Multiple Features and Artificial Neural Network

International Journal of Computer Applications
2015English

Wavelet Analysis and Neural Networks for Bearing Fault Diagnosis

2012English

Acoustic Emission Signal Recognition of Different Rocks Using Wavelet Transform and Artificial Neural Network

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2015English

Age Invariant Face Recognition Using Convolutional Neural Network

International Journal of Electrical and Computer Engineering
Electronic EngineeringElectricalComputer Science
2018English

Devanagari Character Recognition Using Artificial Neural Network

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2017English

A Novel Image Fusion Method Based on Translation Invariant Wavelet Transforms

Journal of Software
2014English

A Neural Algorithm for the Development of Invariant Transforms for Recognition.

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy