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M. Khazaee, A. Rezaniakolaie, A. Moosavian,
L. Rosendahl, A novel method for autonomous remote condition monitoring of
rotating machines using piezoelectric energy harvesting approach, Sensors and
Actuators A: Physical, Vol. 295, pp. 37-50, 2019.
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A. Moosavian,
S.M. Jafari, M. Khazaee, H. Ahmadi, A comparison between ANN, SVM and least
squares SVM: Application in Multi-fault diagnosis of rolling element bearing, International
Journal of Acoustics and Vibration, Vol. 23, No. 4, pp. 432-440, 2018.
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A. Moosavian,
G. Najafi, B. Ghobadian, M. Mirsalim, The effect of piston scratching fault on
the vibration behavior of an IC engine, Applied Acoustics 126, pp. 91-100,
2017.
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A. Moosavian,
M. Khazaee, G. Najafi, M. Khazaee, B. Sakhaei, S.M. Jafari, Wavelet denoising
using different mother wavelets for fault diagnosis of engine spark plug, Proc
IMechE Part E: Journal of Process Mechanical Engineering, Vol. 231(3), pp.
359-370, DOI: 10.1177/0954408915595952, 2017.
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M.R. Asadi Asad Abad, A. Moosavian, M.
Khazaee, Wavelet transform and least square support vector machine for
mechanical fault detection of an alternator using vibration signal, Journal of
Low Frequency Noise, Vibration and Active Control, Vol. 35(1), pp. 52-63, DOI:
10.1177/0263092316628258, 2016.
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G. Najafi, B. Ghobadian, A. Moosavian, T.
Yusaf, R. Mamat, M. Kettner, W.H. Azmi, SVM and ANFIS for prediction of
performance and exhaust emissions of a SI engine with gasoline-ethanol blended
fuels, Applied Thermal Engineering 95, pp. 186-203, 2016.
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A. Moosavian,
G. Najafi, B. Ghobadian, M. Mirsalim, S.M. Jafari, P. Sharghi, Piston scuffing
fault and its identification in an IC engine by vibration analysis, Applied
Acoustics 102, pp. 40-48, 2016.
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A. Moosavian,
M. Khazaee, H. Ahmadi, M. Khazaee, G. Najafi, Fault diagnosis and
classification of water pump using adaptive neuro-fuzzy inference system based
on vibration signals, Structural Health Monitoring, Vol. 14(5), pp. 402-410, DOI:
10.1177/1475921715591873, 2015.
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A. Moosavian,
M. Khazaee, G. Najafi, M. Kettner, R. Mamat, Spark plug fault recognition based
on sensor fusion and classifier combination using Dempster-Shafer evidence
theory, Applied Acoustics 93, pp. 120-129, 2015.
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R. Abbaszadeh, A. Moosavian, A.
Rajabipour, G. Najafi, An intelligent procedure for watermelon ripeness
detection based on vibration signals, Journal of Food Science and Technology
52(2), pp. 1075-1081, 2015, DOI: 10.1007/s13197-013-1068-x.
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A. Moosavian, H.
Ahmadi, A. Tabatabaeefar, M. Khazaee, Comparison of two classifiers; K-nearest
neighbor and artificial neural network, for fault diagnosis on a main engine
journal-bearing, Shock and Vibration (IOS Press) 20, pp. 263–272, 2013, DOI:
10.3233/SAV-2012-00742.
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M. Khazaee, H. Ahmadi, M. Omid, A. Banakar, A.
Moosavian, Feature-level fusion based on wavelet transform and artificial
neural network for fault diagnosis of planetary gearbox using acoustic and
vibration signals, Insight - Non-Destructive Testing and Condition Monitoring,
Vol. 55, Issue 6, pp. 323-330(8), 2013.
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M. Khazaee, H. Ahmadi, M. Omid, A. Moosavian,
M. Khazaee, Classifier fusion of vibration and acoustic signals for fault
diagnosis and classification of planetary gears based on Dempster-Shafer
evidence theory, Proc IMechE Part E: Journal of Process Mechanical Engineering,
Vol. 228(1), pp. 21-23, 2014, DOI: 10.1177/0954408912469902.
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M.R. Asadi Asad Abad, H. Ahmadi, A. Moosavian,
M. Khazaee, M.R. Kohan, M. Mohammadi, Discrete wavelet transform and artificial
neural network for gearbox fault detection based on acoustic signals, Journal
of Vibroengineering, Vol. 15, Issue 1, pp. 64-68, 2013.
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A. Moosavian, H.
Ahmadi, A. Tabatabaeefar, Fault diagnosis of main engine journal-bearing based
on vibration analysis using Fisher linear discriminant, K-nearest neighbor and
support vector machine, Journal of Vibroengineering, Vol. 14, Issue 2, pp.
894-904, 2012.
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M. Khazaee, H. Ahmadi, M. Omid, A. Moosavian,
M. Khazaee, Vibration condition monitoring of planetary gears based on decision
level data fusion using Dempster-Shafer theory of evidence, Journal of
Vibroengineering, Vol. 14, Issue 2, pp. 838-851, 2012.
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