@ARTICLE{
author={Zuber Ninoslav,Bajric Rusmir},
year={2020},
title={Gearbox faults feature selection and severity classification using machine learning},
journal={EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY},
volume={22},
number={4},
pages={748-756},
document_type={Article},
} 

@ARTICLE{
author={Zuber Ninoslav,Bajric Rusmir},
year={2016},
title={Application of Artificial Neural Networks and Principal Component Analysis on Vibration Signals for Automated Fault Classification of Roller Element Bearings},
journal={EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY},
volume={18},
number={2},
pages={299-306},
document_type={Article},
} 

@ARTICLE{
author={Bajric Rusmir,Zuber Ninoslav,Skrimpas Georgios Alexandros,Mijatovic Nenad},
year={2016},
title={Feature Extraction Using Discrete Wavelet Transform for Gear Fault Diagnosis of Wind Turbine Gearbox},
journal={SHOCK AND VIBRATION},
volume={},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Bajric Rusmir,Zuber Ninoslav,Sostakov Rastislav},
year={2014},
title={Relations Between Pulverizing Process Parameters and Beater Wheel Mill Vibration for Predictive Maintenance Program Setup},
journal={EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY},
volume={16},
number={1},
pages={158-163},
document_type={Article},
} 

@ARTICLE{
author={Zuber Ninoslav,Bajric Rusmir,Sostakov Rastislav},
year={2014},
title={Gearbox Faults Identification Using Vibration Signal Analysis and Artificial Intelligence Methods},
journal={EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY},
volume={16},
number={1},
pages={61-65},
document_type={Article},
} 

@ARTICLE{
author={Bajric Rusmir,Zuber Ninoslav,Isic Safet},
year={2013},
title={Recent Advances in Vibration Signal Processing Techniques for Gear Fault Detection-A Review},
journal={ACOUSTICS & VIBRATION OF MECHANICAL STRUCTURES},
volume={430},
number={},
pages={78-+},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Zuber Ninoslav,Cvetkovic Dragan S,Bajric Rusmir},
year={2013},
title={Multiple fault identification using vibration signal analysis and artificial intelligence methods},
journal={ACOUSTICS & VIBRATION OF MECHANICAL STRUCTURES},
volume={430},
number={},
pages={63-69},
document_type={Proceedings Paper},
} 

@ARTICLE{
author={Zuber Ninoslav,Bajric Rusmir,Sostakov Rastislav},
year={2011},
title={Application of vibration signal analysis and artificial intelligence methods in fault identification of rolling element bearings},
journal={TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM},
volume={6},
number={3},
pages={841-847},
document_type={Article},
} 

@ARTICLE{
author={Bajric Rusmir,Zuber Ninoslav,Karic Seniha},
year={2010},
title={Experimental vibration investigation of an industrial beater wheel mill},
journal={TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM},
volume={5},
number={4},
pages={688-692},
document_type={Article},
} 

@ARTICLE{
author={Bajric Rusmir,Baricak Viktor,Delalic Sead,Muratovic Pasaga,Zuber Ninoslav},
year={2010},
title={Investigation of possible resonant problems during beater wheel mill operation},
journal={TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM},
volume={5},
number={1},
pages={32-37},
document_type={Article},
} 

@ARTICLE{
author={Zuber Ninoslav,Licen Hotimir,Bajric Rusmir},
year={2010},
title={An innovative approach to the condition monitoring of excavators in open pits mines},
journal={TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM},
volume={5},
number={1},
pages={3-10},
document_type={Article},
}