"A Wavelet Spectrum Technique for Machinery Fault Diagnosis"
written by Derek Kanneg, Wilson Wang,
published by Journal of Signal and Information Processing, Vol.2 No.4, 2011
has been cited by the following article(s):
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[1] Detection of gear defects using method of wavelet decomposition and cross-correlation-Experi-ment to develop a feasible detection method
The 2nd International Joint Conference on Advanced Engineering and Technology (IJCAET 2017) and International Symposium on Advanced Mechanical and Power Engineering (ISAMPE 2017), 2018
[2] Modelado de sistemas dinámicos con MachineLearning: aplicaciones al mantenimiento basado en la condición.
2018
[3] Projection Matrix Design for Co-Sparse Analysis Model Based Compressive Sensing
2018
[4] Detection of gear defects using method of wavelet decomposition and cross-correlation-Experiment to develop a feasible detection method
2018
[5] Development of Dynamic Signal Analyzer Virtual Instrument (DSA VI): A Research Proposal
2016
[6] A Comprehensive Study of Fault Diagnostics of Roller Bearings Using Continuous Wavelet Transform
International Journal of Manufacturing Systems and Design, 2015
[7] Feature extraction for rotary-machine acoustic diagnostics focused on periodic period
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2015
[8] Fault diagnosis in spur gears based on genetic algorithm and random forest
Mechanical Systems and Signal Processing, 2015
[9] Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal
Sensors, 2015
[10] Feature extraction for rotary machine acoustic diagnostics focused on periodic period
2015
[11] Blade faults diagnosis in multi stage rotor system by means of wavelet analysis
Thesis, 2014