[
[1] Hafaifa, A., Guemana, M., Daoudi, A. “Vibration supervision in gas turbine based on parity space approach to increasing efficiency”, Journal of Vibration and Control 21, pp.1622 – 1632, 2015. DOI: 10.1177/1077546313499927
]Open DOISearch in Google Scholar
[
[2] Djeddi, A. Z., Hafaifa, A., Guemana, M., Kouzou, A. “Gas turbine reliability modelling based on a bath shaped rate failure function: modified Weibull distribution validation”, Life Cycle Reliability and Safety Engineering 9, pp. 437 – 448, 2020. DOI: 10.1007/s41872-020-00149-6
]Open DOISearch in Google Scholar
[
[3] Djeddi, A. Z., Hafaifa, A., Hadroug, N., Iratni, A. “Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis”, Process Safety and Environmental Protection 159, pp. 1 – 25, 2022. DOI: 10.1016/j.psep.2021.12.050
]Open DOISearch in Google Scholar
[
[4] Avramov, K., Malyshev, S. “Bifurcations and chaotic forced vibrations of cantilever beams with breathing cracks”, Engineering Fracture Mechanics 214, pp. 289 – 303, 2019. DOI: 10.1016/j.engfracmech.2019.03.021
]Open DOISearch in Google Scholar
[
[5] Máté, B. V., Stépán, G. “Effect of dry friction on bifurcation diagram of furuta pendulum “, Strojnícky časopis – Journal of Mechanical Engineering 68 (4), pp.11 – 18, 2018. DOI: 10.2478/scjme-2018-0043
]Open DOISearch in Google Scholar
[
[6] Saadat, B., Hafaifa, A., Belhadef, R., Kouzou, A. “Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine”, Strojnícky časopis – Journal of Mechanical Engineering 71 (2), pp. 239 – 256, 2021. DOI: 10.2478/scjme-2021-0033
]Open DOISearch in Google Scholar
[
[7] Djeddi, Ch., Hafaifa, A., Iratni, A., Hadroug, N., Chen, X. “Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach”, Journal of Manufacturing Systems 59, pp.190 – 213, 2021. DOI: 10.1016/j.jmsy.2021.02.012
]Open DOISearch in Google Scholar
[
[8] Fontes, C. H., Budman, H. “A hybrid clustering approach for multivariate time series – A case study applied to failure analysis in a gas turbine”, ISA Transactions 71 (2), pp. 513 – 529, 2017. DOI: 10.1016/j.isatra.2017.09.00428927843
]Open DOISearch in Google Scholar
[
[9] Bekhoucha, F., Rechak, S., Duigou, L., Cadou, J-M. “Branch switching at Hopf bifurcation analysis via asymptotic numerical method: Application to nonlinear free vibrations of rotating beams”, Communications in Nonlinear Science and Numerical Simulation 22 (1/3), pp. 716 – 730, 2015. DOI: 10.1016/j.cnsns.2014.09.001
]Open DOISearch in Google Scholar
[
[10] Liao, H., Wang, J. “Maximization of the vibration amplitude and bifurcation analysis of nonlinear systems using the constrained optimization shooting method”, Journal of Sound and Vibration 332 (16), pp. 3781 – 3793, 2013. DOI: 10.1016/j.jsv.2013.02.034
]Open DOISearch in Google Scholar
[
[11] Bagua, H., Hafaifa, A., Iratni, A., Guemana, M. “Model variables identification of a gas turbine using a subspace approach based on input/output data measurements”, Control Theory and Technology 19, pp. 183 – 196, 2021. DOI: 10.1007/s11768-020-00005-z
]Open DOISearch in Google Scholar
[
[12] Lee, K-H., Han, H-S., Park, S. “Bifurcation analysis of coupled lateral/torsional vibrations of rotor systems”, Journal of Sound and Vibration 386, pp. 372 – 389, 2017. DOI: 10.1016/j.jsv.2016.10.002
]Open DOISearch in Google Scholar
[
[13] Benrahmoune, M., Hafaifa, A., Guemana, M., Chen, X.Q. “Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach”, Strojnícky časopis – Journal of Mechanical Engineering 68 (3), pp. 143 – 166, 2018. DOI: 10.2478/scjme-2018-0032
]Open DOISearch in Google Scholar
[
[14] Hadroug, N., Hafaifa, A., Alili, B., Iratni, A., Chen, X.Q. “Fuzzy diagnostic strategy implementation for gas turbine vibrations faults detection: Towards a characterization of symptom–fault correlations”, Journal of Vibration Engineering & Technologies 10, pp. 225 – 251, 2022. DOI: 10.1007/s42417-021-00373-z
]Open DOISearch in Google Scholar
[
[15] Noiray, N., Schuermans, B. “Deterministic quantities characterizing noise driven Hopf bifurcations in gas turbine combustors”, International Journal of Non-Linear Mechanics 50, pp. 152 – 163, 2013. DOI: 10.1016/j.ijnonlinmec.2012.11.008
]Open DOISearch in Google Scholar
[
[16] Bab, S., Najafi, M., Sola, J. F., Abbasi, A. “Annihilation of non-stationary vibration of a gas turbine rotor system under rub-impact effect using a nonlinear absorber”, Mechanism and Machine Theory 139, pp. 379 – 406, 2019. DOI: 10.1016/j.mechmachtheory.2019.05.005
]Open DOISearch in Google Scholar
[
[17] Sayed M., Mousa A. A., Mustafa, I. “Stability and bifurcation analysis of a buckled beam via active control”, Applied Mathematical Modelling 82, pp. 649 – 665, 2020. DOI: 10.1016/j.apm.2020.01.074
]Open DOISearch in Google Scholar
[
[18] Eshaghi, S., Ghaziani, R. K., Ansari, A. “Hopf bifurcation, chaos control and synchronization of a chaotic fractional-order system with chaos entanglement function”, Mathematics and Computers in Simulation 172, pp. 321 – 340, 2020. DOI: 10.1016/j.matcom.2019.11.009
]Open DOISearch in Google Scholar
[
[19] Aissat, S., Hafaifa, A., Iratni, A., Guemana, M., Chen, X.Q. “Exploitation of multi-models identification with decoupled states in twin shaft gas turbine variables for its diagnosis based on parity space approach”, International Journal of Dynamics and Control 10, pp. 25 – 48, 2022. DOI: 10.1007/s40435-021-00804-5
]Open DOISearch in Google Scholar
[
[20] Sui, X., Ding, Q. “Bifurcation and stability analyses for a pad-on-disc frictional system”, International Journal of Non-Linear Mechanics 107, pp. 112 – 125, 2018. DOI: 10.1016/j.ijnonlinmec.2018.09.002
]Open DOISearch in Google Scholar
[
[21] Wu, Y., Zhang, H., Zuo, L.. “Thermoelectric energy harvesting for the gas turbine sensing and monitoring system”, Energy Conversion and Management 157, pp. 215 – 223, 2018. DOI: 10.1016/j.enconman.2017.12.009
]Open DOISearch in Google Scholar
[
[22] Sun, Y., Xu, J., Qiang, H., Wang, W., Lin, G. “Hopf bifurcation analysis of maglev vehicle–guideway interaction vibration system and stability control based on fuzzy adaptive theory”, Computers in Industry 108, pp. 197 – 209, 2019. DOI: 10.1016/j.compind.2019.03.001
]Open DOISearch in Google Scholar
[
[23] Gao, Z., Zang, Y., Wu, D. “Hopf bifurcation and feedback control of self-excited torsion vibration in the drive system”, Noise & Vibration Worldwide 42 (10), pp. 68 – 74, 2011. DOI: 10.1260/0957-4565.42.10
]Open DOISearch in Google Scholar
