[1] M.Blagojević, M. Matejić, and N. Kostić. Dynamic behaviour of a two-stage cycloidal speed reducer of a new design concept.
Technical Gazette, 25(Supplement 2):291–298, 2018. doi:
10.17559/TV-20160530144431.
[2] M. Wikło, R. Król, K. Olejarczyk, and K. Kołodziejczyk. Output torque ripple for a cycloidal gear train.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(21–22):7270–7281, 2019. doi:
10.1177/0954406219841656.
[3] N. Kumar, V. Kosse, and A. Oloyede. A new method to estimate effective elastic torsional compliance of single-stage Cycloidal drives.
Mechanism and Machine Theory, 105:185–198, 2016. doi:
10.1016/j.mechmachtheory.2016.06.023.
[4] C.-F. Hsieh. The effect on dynamics of using a new transmission design for eccentric speed reducers.
Mechanism and Machine Theory, 80:1–16, 2014. doi:
10.1016/j.mechmachtheory.2014.04.020.
[5] R. Król. Kinematics and dynamics of the two stage cycloidal gearbox.
AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe, 19(6):523–527, 2018. doi:
10.24136/atest.2018.125.
[6] K-.S. Lin, K.-Y. Chan, and J.-J. Lee. Kinematic error analysis and tolerance allocation of cycloidal gear reducers.
Mechanism and Machine Theory, 124:73–91, 2018. doi:
10.1016/j.mechmachtheory.2017.12.028.
[7] L. X. Xu, B. K. Chen, and C.Y. Li. Dynamic modelling and contact analysis of bearing-cycloid-pinwheel transmission mechanisms used in joint rotate vector reducers.
Mechanism and Machine Theory, 137:432–458, 2019. doi:
10.1016/j.mechmachtheory.2019.03.035.
[8] A. Robison and A. Vacca. Multi-objective optimization of circular-toothed gerotors for kinematics and wear by genetic algorithm.
Mechanism and Machine Theory, 128:150–168, 2018. doi:
10.1016/j.mechmachtheory.2018.05.011.
[9] R. Król, M. Wikło, K. Olejarczyk, K.Kołodziejczyk, and A. Zieja. Optimization of the one stage cycloidal gearbox as a non-linear least squares problem. In: T. Uhl (ed.)
Advances in Mechanism and Machine Science. Proceedings of the 15th IFToMM World Congress on Mechanism and Machine Science, pages 1039–1048, Cracow, Poland, 15-18 July, 2019. doi:
10.1007/978-3-030-20131-9_103.
[10] R. Król. Updated software for the one stage cycloidal gearbox optimization (MATLAB scripts) (2.0). Zenodo, 2021. doi:
10.5281/zenodo.4737264.
[11] L. X. Xu and Y. H. Yang. Dynamic modeling and contact analysis of a cycloid-pin gear mechanism with a turning arm cylindrical roller bearing.
Mechanism and Machine Theory, 104:327–349, 2016. doi:
10.1016/j.mechmachtheory.2016.06.018.
[12] M. Pfabe and C. Woernle. Reducing torsional vibrations by means of a kinematically driven flywheel – Theory and experiment.
Mechanism and Machine Theory, 102:217–228, 2016. doi:
10.1016/j.mechmachtheory.2016.03.011.
[13] Y. Chen, X. Liang, and M. J. Zuo. Sparse time series modeling of the baseline vibration from a gearbox under time-varying speed condition.
Mechanical Systems and Signal Processing, 134:106342, 2019. doi:
10.1016/j.ymssp.2019.106342.
[14] R. Yang, F. Li, Y. Zhou, and J. Xiang. Nonlinear dynamic analysis of a cycloidal ball planetary transmission considering tooth undercutting.
Mechanism and Machine Theory, 145:103694, 2020. doi:
10.1016/j.mechmachtheory.2019.103694.
[15] W. He, B. Chen, N. Zeng, and Y. Zi. Sparsity-based signal extraction using dual Q-factors for gearbox fault detection.
ISA Transactions, 79:147–160, 2018. doi:
10.1016/j.isatra.2018.05.009.
[16] D. Zhang and D. Yu. Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter.
Measurement, 103:361–369, 2017. doi:
10.1016/j.measurement.2017.03.006.
[17] C.U. Mba, V. Makis, S. Marchesiello, A. Fasana, and L. Garibaldi. Condition monitoring and state classification of gearboxes using stochastic resonance and hidden Markov models.
Measurement, 126:76–95, 2018. doi:
10.1016/j.measurement.2018.05.038.
[18] C. Wang, H. Li, J. Ou, R. Hu, S. Hu, and A. Liu. Identification of planetary gearbox weak compound fault based on parallel dual-parameter optimized resonance sparse decomposition and improved MOMEDA.
Measurement, 165:108079, 2020. doi:
10.1016/j.measurement.2020.108079.
[19] W. Teng, X. Ding, H. Cheng, C. Han, Y. Liu, and H. Mu. Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform.
Renewable Energy, 136:393–402, 2019. doi:
10.1016/j.renene.2018.12.094.
[20] Y. Lei, D. Han, J. Lin, and Z. He. Planetary gearbox fault diagnosis using an adaptive stochastic resonance method.
Mechanical Systems and Signal Processing, 38(1):113–124, 2013. doi:
10.1016/j.ymssp.2012.06.021.
[21] L. Hong, Y. Qu, J. S. Dhupia, S. Sheng, Y. Tan, and Z. Zhou. A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement.
Mechanical Systems and Signal Processing, 94:14–32, 2017. doi:
10.1016/j.ymssp.2017.02.024.
[22] S. Schmidt, P. S. Heyns, and J. P. de Villiers. A novelty detection diagnostic methodology for gearboxes operating under fluctuating operating conditions using probabilistic techniques.
Mechanical Systems and Signal Processing, 100:152–166, 2018. doi:
10.1016/j.ymssp.2017.07.032.
[23] T. Wang, Q. Han, F. Chu, and Z. Feng. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review.
Mechanical Systems and Signal Processing, 126:662–685, 2019. doi:
10.1016/j.ymssp.2019.02.051.
[24] S. Schmidt, P. S. Heyns, and K. C. Gryllias. A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions.
Applied Acoustics, 158:107038, 2020. doi:
10.1016/j.apacoust.2019.107038.
[25] Y. Li, K. Feng, X. Liang, and M.J. Zuo. A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy.
Journal of Sound and Vibration, 439:271–286, 2019. doi:
10.1016/j.jsv.2018.09.054.
[26] S. Tong, Y. Huang, Y. Jiang, Y. Weng, Z. Tong, N. Tang, and F. Cong. The identification of gearbox vibration using the meshing impacts based demodulation technique.
Journal of Sound and Vibration, 461:114879, 2019. doi:
10.1016/j.jsv.2019.114879.
[27] X. Chen and Z. Feng. Time-frequency space vector modulus analysis of motor current for planetary gearbox fault diagnosis under variable speed conditions.
Mechanical Systems and Signal Processing, 121:636–654, 2019. doi:
10.1016/j.ymssp.2018.11.049.
[28] D.F. Plöger, P. Zech, and S. Rinderknecht. Vibration signature analysis of commodity planetary gearboxes.
Mechanical Systems and Signal Processing, 119:255–265, 2019. doi:
10.1016/j.ymssp.2018.09.014.
[29] G. D’Elia, E. Mucchi, and M. Cocconcelli. On the identification of the angular position of gears for the diagnostics of planetary gearboxes.
Mechanical Systems and Signal Processing, 83:305–320, 2017. doi:
10.1016/j.ymssp.2016.06.016.
[30] W. Żurowski, K. Olejarczyk, and R. Zaręba.Wear assessment of sliding sleeves in a single-stage cycloidal drive.
Advances in Science and Technology Research Journal, 13(4):239–245, 2019. doi:
10.12913/22998624/114180.
[31] K. Olejarczyk, M. Wikło, K. Kołodziejczyk, R. Król, and K. Król. Theoretical and experimental verification of one stage cycloidal gearbox efficiency. In: T. Uhl (ed.)
Advances in Mechanism and Machine Science. Proceedings of the 15th IFToMM World Congress on Mechanism and Machine Science, pages 1029–1038, Cracow, Poland, 15-18 July, 2019. doi:
10.1007/978-3-030-20131-9_102.
[32] M. Wikło, K. Olejarczyk, K. Kołodziejczyk, K. Król, and I. Komorska. Experimental vibration test of the cycloidal gearbox with different working conditions.
Vibroengineering PROCEDIA, 13:24–27, 2017. doi:
10.21595/vp.2017.19073.
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