In the rolling stock sector, the ability to protect
passengers, freight and services relies on heavy inborn maintenance. Initiating
an accurate model suitable to foresee the change of attitude on components when
operating rolling stock systems will assist in reducing lock down and favors
heavy productivity. In that light, this paper showcases a suitable methodology
to track degradation of components through the blinding of physic laws and
artificial intelligent techniques. This model used to foresee failure
deterioration rate and remaining useful life (RUL) speculation is case study to
showcase its quality and perfection, within which behavioral data are obtained
through simulated models initiated in Mathlab. For feature extraction and
forecasting issues, different neuro-fuzzy inference systems are designed,
learnt and authenticated with powerful outputs gained during this process.
References
[1]
ISO 13381-1 (2015) Condition Monitoring and Diagnostics of Machines—Prognostics—Part 1: General Guidelines.
[2]
Luo, J., Namburu, M., Pattipati, K. and Qiauio, L. (2003) Model-Based Prognostic Techniques. IEEE Systems Readiness Technology Conference, Anaheim, 22-25 September 2003. https://www.teamqsi.com/wp-content/uploads/2012/10/063Luo.pdf
[3]
Zhang, X.H., Xiao, L. and Kang, J.S. (2015) Degradation Prediction Model Based on a Neural Network with Dynamic Windows. Sensors, 15, 6996-7015. https://doi.org/10.3390/s150306996
[4]
Wu, Q.H., Ding, K.Q. and Huang, B.Q. (2018) Approach for Fault Prognosis Using Recurrent Neural Network. Journal of Intelligent Manufacturing, 31, 1621-1633.
[5]
Zid, K., Ahmed, M.B. and Turki, M. (2018) Modeling of Flank Wear Using ANFIS. Proceedings of the 4th International Conference on Engineering & MIS, Istanbul, June 2018, Article No. 47.
[6]
Sparthan, T., Nzie, W., Sohfotsing, B., Garro, O. and Beda, T. (2020) A Proposed Scheme for Fault Discovery and Extraction Using ANFIS: Application to Train Braking System. Studies in Engineering and Technology, 7, 48. https://doi.org/10.11114/set.v7i1.4822
[7]
Jaoude, A.A. (2012) Advanced Analytic Model for the Prognostic of Industrial Systems Subject to Fatigue. PhD Thesis.
[8]
Chong, S.Y., Lee, J.-R. and Shin, H.-J. (2010) A Review of Health and Operation Monitoring Technologies for Trains. Smart Structures and Systems, 6, 1079-1105. https://doi.org/10.12989/sss.2010.6.9.1079
[9]
Sawczuk, W. and Szymanski, G.M. (2017) Diagnostics of the Railway Friction Disc Brake Based on the Analysis of the Vibration Signals in Terms of Resonant Frequency. Archive of Applied Mechanics, 87, 801-815. https://doi.org/10.1007/s00419-016-1202-0
[10]
Feildmanis, J. (2008) Mathematical Modeling of Disc Brake Frictional Lining Heat and Wear. Engineering for Rural Development, Jelgava, 239-241. http://www.tf.llu.lv/conference/proceedings2008/Papers/45_Feldmanis.pdf
[11]
Kakad, S.R., More, R.M. and Kamble, D.N. (2017) Mathematical Modeling & Analysis of Brake Pad for Wear Characteristics. International Conference on Ideas, Impact and Innovation in Mechanical Engineering, 5, 1048-1056.
[12]
Kalhapure, V.A. and Khairnar, H.P. (2018) Wear Mechanism and Modelling for Automotive Brakes with Influence of Pressure, Temperature and Sliding Velocity: A Review Article. European Journal of Advances in Engineering and Technology, 5, 333-343.
[13]
Stoica, N.A., Petrescu, A.-M. and Tudor, A. (2018) Modelling the Wear Processes of the Automotive Brake Pad and Disc. INCAS Bulletin, 10, 169-179. https://doi.org/10.13111/2066-8201.2018.10.4.15
[14]
Sawczuk, W. and Tomaszewski, F. (2013) Evaluation of the Wear of Friction Pads Railway Disc Brake Using Selected Point Parameters of Vibrations Signal Generated by the Disc Brake. Diagnostyka, 14, 69.
[15]
Sawczuk, W. (2017) The Application of Vibration Accelerations in the Assessment of Average Friction Coefficient of a Railway Brake Disc. Measurement Science Review, 17, 125-134. https://doi.org/10.1515/msr-2017-0016
[16]
Dineshkumar, S. and Jayakanth, J.J. (2016) Modelling and Analysis of Disc Brake. International Journal of Innovative Research in Science, Engineering and Technology, 5, 5403.
[17]
Stoica, N.A. (2018) Contributions to the Study of the Tribological Processes in the Disc Braking System, Applied to Automobiles. Thesis, University Politehnica of Bucharest, Bucharest.
[18]
CAMTECH (2014) Pamphlet on Instruction for Axle Mounted Brake Disc in LHB Coach (FTIL Type). CAMTECH, Maharajpur.
[19]
Azevedo, D., Cardoso, A. and Ribeiro, B. (2020) Estimation of Health Indicators Using Advanced Analytics for Prediction of Aircraft Systems Remaining Useful Lifetime. European Conference of the Prognostics and Health Management Society, Turin, 27-31 July 2020, 1-10
