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Publications
Journal article
Multibody dynamic analysis of vibrational and frictional energy for railway freight wagons under different track irregularities and curve radii

Ahmad, S., Wu, Q., Bernal, E., Spiryagin, M., Cole, C., & Buckley, R. (2025). Multibody dynamic analysis of vibrational and frictional energy for railway freight wagons under different track irregularities and curve radii. Mechanism and Machine Theory, 213, 106076-1-106076-15. doi:10.1016/j.mechmachtheory.2025.106076


A review on frictional torque reduction approaches for energy efficient roller bearings

Rahaman, M. L., Bernal, E., Spiryagin, M., Cole, C., Buckley, R., & Wu, Q. (2025). A review on frictional torque reduction approaches for energy efficient roller bearings. Advances in Mechanical Engineering, 17(5), 1-22. doi:10.1177/16878132251340233


Railway track buckling evaluation using rigid-flexible multibody dynamic model and machine learning

Agustin, D., Wu, Q., Bernal, E., Spiryagin, M., & Cole, C. (2025). Railway track buckling evaluation using rigid-flexible multibody dynamic model and machine learning. Mechanics Based Design of Structures and Machines, 53(6), 4830-4852. doi:10.1080/15397734.2025.2456655


Stochastic evaluation of railway track buckling using Monte-Carlo simulations

Agustin, D., Wu, Q., Spiryagin, M., Cole, C., & Bernal, E. (2024). Stochastic evaluation of railway track buckling using Monte-Carlo simulations. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10(4), 04024060-1-04024060-10. doi:10.1061/ajrua6.rueng-1353


Analysis of Traction Coefficient Subject to Rail Cleaning Effect Based on Tribomachine Measurements

Bernal, E., Camacho, D., Rahaman, M. L., Spiryagin, M., Wu, Q., Sneath, B., . . . Cole, C. (2024). Analysis of Traction Coefficient Subject to Rail Cleaning Effect Based on Tribomachine Measurements. Experimental Techniques, 48, 219-228. doi:10.1007/s40799-023-00651-3


Hand operated tribometer versus twin disc dry friction characteristics measurements

Bernal, E., Spiryagin, M., Oldknow, K., Wu, Q., Rahaman, M., Camacho, D., . . . Mcsweeney, T. (2024). Hand operated tribometer versus twin disc dry friction characteristics measurements. Wear, 540-541, 1-7. doi:10.1016/j.wear.2024.205267


Heavy haul rail/wheel wear and RCF assessments using 3D train models and a new wear map

Wu, Q., Bernal, E., Spiryagin, M., Krishna, V., Ding, H., Stichel, S., & Cole, C. (2024). Heavy haul rail/wheel wear and RCF assessments using 3D train models and a new wear map. Wear, 538-539, 1-11. doi:10.1016/j.wear.2023.205226


Augmented digital twin for railway systems

Bernal, E., Wu, Q., Spiryagin, M., & Cole, C. (2024). Augmented digital twin for railway systems. Vehicle System Dynamics: international journal of vehicle mechanics and mobility, 62(1), 67-83. doi:10.1080/00423114.2023.2194543


Development of a digital twin for prediction of rail surface damage in heavy haul railway operations

Ahmad, S., Spiryagin, M., Wu, Q., Bernal, E., Sun, Y., Cole, C., & Makin, B. (2024). Development of a digital twin for prediction of rail surface damage in heavy haul railway operations. Vehicle System Dynamics: international journal of vehicle mechanics and mobility, 62(1), 41-66. doi:10.1080/00423114.2023.2237620


Freight container wagon modelling and simulation analysis due to braking

Sun, Y. Q., Nafis Ahmad, S., Persson, I., Spiryagin, M., Bernal Arango, E., & Cole, C. (2024). Freight container wagon modelling and simulation analysis due to braking. Vehicle System Dynamics, 62(12), 3255-3275. doi:10.1080/00423114.2024.2325189


Recent advances in wheel–rail RCF and wear testing

Shrestha, S., Spiryagin, M., Bernal, E., Wu, Q., & Cole, C. (2023). Recent advances in wheel–rail RCF and wear testing. Friction, 11(12), 2181-2203. doi:10.1007/s40544-022-0705-7


Implementation of roughness and elastic-plastic behavior in a wheel-rail contact modeling for locomotive traction studies

Spiryagin, M., Bernal, E., Oldknow, K., Persson, I., Rahaman, M. L., Ahmad, S., . . . Mcsweeney, T. (2023). Implementation of roughness and elastic-plastic behavior in a wheel-rail contact modeling for locomotive traction studies. Wear, 532-533, 1-11. doi:10.1016/j.wear.2023.205115


Rail rolling contact fatigue response diagram construction and shakedown map optimization

Xie, Y., Wang, W., Guo, J., An, B., Chen, R., Wu, Q., . . . Spiryagin, M. (2023). Rail rolling contact fatigue response diagram construction and shakedown map optimization. Wear, 528-529, 1-13. doi:10.1016/j.wear.2023.204964


An investigation into the effect of slip rate on the traction coefficient behaviour with a laboratory replication of a locomotive wheel rolling/sliding along a railway track

Rahaman, M. L., Bernal, E., Spiryagin, M., Bosomworth, C., Sneath, B., Wu, Q., . . . Mcsweeney, T. (2023). An investigation into the effect of slip rate on the traction coefficient behaviour with a laboratory replication of a locomotive wheel rolling/sliding along a railway track. Tribology International, 187, 1-7. doi:10.1016/j.triboint.2023.108773


Co-simulation methods for train braking dynamics

Wu, Q., Spiryagin, M., Liu, P., Cole, C., & Bernal, E. (2023). Co-simulation methods for train braking dynamics. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit, 237(8), 1072-1081. doi:10.1177/09544097231155564


Loop track: An infinite long track model

Wu, Q., Cole, C., Spiryagin, M., Bernal, E., & Liu, P. (2023). Loop track: An infinite long track model. International Journal of Rail Transportation, 11(6), 872-885. doi:10.1080/23248378.2022.2107581


Adding a brake shoe temperature model into freight train longitudinal braking dynamics simulations

Wu, Q., Magelli, M., Zampieri, N., & Bernal, E. (2023). Adding a brake shoe temperature model into freight train longitudinal braking dynamics simulations. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit, 237(5), 631-641. doi:10.1177/09544097221126274


A real-time fluid dynamic air brake model for long heavy haul trains

Wu, Q., Ge, X., Bernal, E., & Liu, P. (2023). A real-time fluid dynamic air brake model for long heavy haul trains. Journal of Computational and Nonlinear Dynamics034502-1, 18(3), 034502-1-034502-6. doi:10.1115/1.4056849


iNEW method for experimental-numerical locomotive studies focused on rail wear prediction

Bernal, E., Spiryagin, M., Wu, Q., Bosomworth, C., Sneath, B., & Cole, C. (2023). iNEW method for experimental-numerical locomotive studies focused on rail wear prediction. Mechanical Systems and Signal Processing, 186, 1-15. doi:10.1016/j.ymssp.2022.109898


Problems, assumptions and solutions in locomotive design, traction and operational studies

Spiryagin, M., Wu, Q., Polach, O., Thorburn, J., Chua, W., Spiryagin, V., . . . Mcsweeney, T. (2022). Problems, assumptions and solutions in locomotive design, traction and operational studies. Railway Engineering Science, 30(3), 265-288. doi:10.1007/s40534-021-00263-w


Prediction of rail surface damage in locomotive traction operations using laboratory-field measured and calibrated data

Bernal, E., Spiryagin, M., Vollebregt, E., Oldknow, K., Stichel, S., Shrestha, S., . . . Cole, C. (2022). Prediction of rail surface damage in locomotive traction operations using laboratory-field measured and calibrated data. Engineering Failure Analysis, 135, 1-14. doi:10.1016/j.engfailanal.2022.106165


Adaptive simulation and integration method for wheel-rail contact problems in locomotive traction studies

Spiryagin, M., Shrestha, S., Persson, I., Wu, Q., Arango, E. B., & Cole, C. (2022). Adaptive simulation and integration method for wheel-rail contact problems in locomotive traction studies. Vehicle System Dynamics, 60(12), 4206-4225. doi:10.1080/00423114.2021.2000624


Dynamic response feature of electromechanical coupled drive subsystem in a locomotive excited by wheel flat

Zhou, Z., Chen, Z., Spiryagin, M., Bernal Arango, E. D., Wolfs, P. J., Cole, C. R., & Zhai, W. (2021). Dynamic response feature of electromechanical coupled drive subsystem in a locomotive excited by wheel flat. Engineering Failure Analysis, 122, 1-13. doi:10.1016/j.engfailanal.2021.105248


Wheel flat analogue fault detector verification study under dynamic testing conditions using a scaled bogie test rig

Bernal, E., Spiryagin, M., & Cole, C. (2021). Wheel flat analogue fault detector verification study under dynamic testing conditions using a scaled bogie test rig. International Journal of Rail Transportation, 1-18. doi:10.1080/23248378.2021.1889407


Ultra-low power sensor node for on-board railway wagon monitoring

Bernal, E., Spiryagin, M., & Cole, C. R. (2020). Ultra-low power sensor node for on-board railway wagon monitoring. IEEE Sensors Journal, 20(24), 15185-15192. doi:10.1109/JSEN.2020.3011132


Wheel flat detectability for Y25 railway freight wagon using vehicle component acceleration signals

Bernal, E., Spiryagin, M., & Cole, C. R. (2020). Wheel flat detectability for Y25 railway freight wagon using vehicle component acceleration signals. Vehicle System Dynamics, 52(12), 1893-1913. doi:10.1080/00423114.2019.1657155


Onboard condition monitoring sensors, systems and techniques for freight railway vehicles: A review

Bernal, E., Spiryagin, M., & Cole, C. (2019). Onboard condition monitoring sensors, systems and techniques for freight railway vehicles: A review. IEEE Sensors Journal, 19(1), 4-24. doi:10.1109/JSEN.2018.2875160


Conference paper
AI powered digital twin for rail damage prediction

Bernal, E., Ding, H., Wang, W., Spiryagin, M., Ahmad, S., Wu, Q., . . . Cole, C. (2025). AI powered digital twin for rail damage prediction. In W. Zhai, S. Zhou, K. C. P. Wang, Y. Shan, S. Zhu, C. He, & C. Wang (Eds.), ICRT 2024: Proceedings of the Third International Conference on Rail Transportation (pp. 286-294). Reston, VA: American Society of Civil Engineers. doi:10.1061/9780784485941


Intelligent algorithms to detect track geometry defects using vehicle acceleration

Augustin, D., Wu, Q., Zhu, S., Cole, C., Spiryagin, M., & Bernal, E. (2025). Intelligent algorithms to detect track geometry defects using vehicle acceleration. In W. Zhai, S. Zhou, K. C. P. Wang, Y. Shan, S. Zhu, C. He, & C. Wang (Eds.), ICRT 2024: Proceedings of the Third International Conference on Rail Transportation (pp. 331-338). Reston, VA: American Society of Civil Engineers. Retrieved from https://ascelibrary.org/doi/10.1061/9780784485941.035


Prediction of rolling contact fatigue caused by full train operation by using a digital twin method

Ahmad, S., Bosomworth, C., Bernal, E., Spiryagin, M., Rahaman, M., Wu, Q., . . . Cole, C. (2025). Prediction of rolling contact fatigue caused by full train operation by using a digital twin method. In W. Zhai, S. Zhou, K. C. P. Wang, Y. Shan, S. Zhu, C. He, & C. Wang (Eds.), ICRT 2024: Proceedings of the Third International Conference on Rail Transportation (pp. 1-10). Reston, VA: American Society of Civil Engineers. doi:10.1061/9780784485941


Principles of the framework development of a physics-based rail vehicle digital twin in innovative decision support and prediction complex systems

Spiryagin, M., Bruni, S., Fu, B., Bernal, E., Ahmad, S., Wu, Q., . . . Persson, I. (2025). Principles of the framework development of a physics-based rail vehicle digital twin in innovative decision support and prediction complex systems. In W. Zhai, S. Zhou, K. C. P. Wang, Y. Shan, S. Zhu, C. He, & C. Wang (Eds.), ICRT 2024: Proceedings of the Third International Conference on Rail Transportation (pp. 494-503). Reston, VA: American Society of Civil Engineers. Retrieved from https://ascelibrary.org/doi/10.1061/9780784485941.052


Advances in long train-track dynamics modelling

Agustin, D., Wu, Q., Zhu, S., Cole, C., Spiryagin, M., & Bernal, E. (2025). Advances in long train-track dynamics modelling. In W. Huang, & M. Ahmadian (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks III Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 1: Rail Vehicles Vol. Lecture Notes in Mechanical Engineering (LNME) (pp. 9-15). Cham, Switzerland: Springer. doi:10.1007/978-3-031-66971-2_2


Implementation of the rheological dry friction model in fastsim algorithm for locomotive traction studies

Spiryagin, M., Polach, O., Bernal, E., Rahaman, M., Wu, Q., Cole, C., & Persson, I. (2025). Implementation of the rheological dry friction model in fastsim algorithm for locomotive traction studies. In W. Huang, & M. Ahmadian (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks III Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 1: Rail Vehicles Vol. Lecture Notes in Mechanical Engineering (LNME) (pp. 612-622). Cham, Switzerland: Springer. doi:10.1007/978-3-031-66971-2_64


Real-time digital twin for railway systems

Bernal, E., Spiryagin, M., Santa, J., Toro, A., Wu, Q., & Cole, C. (2025). Real-time digital twin for railway systems. In W. Huang, & M. Ahmadian (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks III Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 1: Rail Vehicles Vol. Lecture Notes in Mechanical Engineering (LNME) (pp. 445-454). Cham, Switzerland: Springer. doi:10.1007/978-3-031-66971-2_47


Hand operated tribometer versus twin disc dry friction characteristics measurements

Bernal, E., Spiryagin, M., Oldknow, K., Wu, Q., Bosomworth, C., Ahmad, S., . . . Mcsweeney, T. (2022). Hand operated tribometer versus twin disc dry friction characteristics measurements. In P. Meehan, W. Yan, P. Mutton, & J. Pun (Eds.), Proceedings of the 12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2022) Vol. 540-541 (pp. 522-527). Online: Contact Mechanics and Wear of Rail/Wheel Systems. doi:10.1016/j.wear.2024.205267


Communication based train control (CBTC): Train controller and dynamics

Wu, Q., Ge, X., Cole, C., Spiryagin, M., & Bernal, E. (2023). Communication based train control (CBTC): Train controller and dynamics. In CORE2023: Conference on Railway Excellence Conference Proceedings (pp. 637-643). Online: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2023.org/


Digital twin study to investigate the impact of heavy haul train driving strategies on rail wear

Ahmad, S., Spiryagin, M., Bosomworth, C., Sun, Y., Bernal, E., Wu, Q., . . . Mcsweeney, T. (2023). Digital twin study to investigate the impact of heavy haul train driving strategies on rail wear. In CORE2023: Conference on Railway Excellence Conference Proceedings (pp. 765-775). Online: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2023.org/


Influence of wagon and locomotive wheel diameter differences on wear and RCF considering train operational conditions

Bernal, E., Ahmad, S., Sun, Y., Spiryagin, M., Wu, Q., Cole, C., & Mcsweeney, T. (2023). Influence of wagon and locomotive wheel diameter differences on wear and RCF considering train operational conditions. In CORE2023: Conference on Railway Excellence Conference Proceedings (pp. 283-293). Online: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2023.org/


Preliminary investigation of an 8-axle freight locomotive design as a possible net-zero-emission motive power solution for Australian rail operational tasks

Spiryagin, M., Wright, G., Wolfs, P., Ahmad, S., Bernal, E., Wu, Q., . . . Mcsweeney, T. (2023). Preliminary investigation of an 8-axle freight locomotive design as a possible net-zero-emission motive power solution for Australian rail operational tasks. In CORE2023: Conference on Railway Excellence Conference Proceedings (pp. 813-822). Online: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2023.org/


Principles of the implementation of wheel-rail friction measurements and friction mapping in rail digital twins

Spiryagin, M., Bernal, E., Stichel, S., Lewis, R., Ahmad, S., Wu, Q., . . . Mcsweeney, T. (2023). Principles of the implementation of wheel-rail friction measurements and friction mapping in rail digital twins. In CORE2023: Conference on Railway Excellence Conference Proceedings (pp. 273-282). Online: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2023.org/


Friction-Slip Curves - The Pathway from Twin-Disc Tribo Measurements to Full-Scale Locomotive Multibody Simulations

Bernal, E., Spiryagin, M., Stichel, S., Bosso, N., Lewis, R., Bosomworth, C., . . . Cole, C. (2022). Friction-Slip Curves - The Pathway from Twin-Disc Tribo Measurements to Full-Scale Locomotive Multibody Simulations. In Proceedings of the 2022 Joint Rail Conference (JRC2022) (pp. V001T07A005-1-V001T07A005-6). New York, NY: American Society of Mechanical Engineers. doi:10.1115/jrc2022-84111


Advanced modelling and performance evaluation of hydrogen-powered heavy haul locomotive

Spiryagin, M., Szanto, F., Oldknow, K., Wolfs, P., Spiryagin, V., Ahmad, S., . . . Mcsweeney, T. (2022). Advanced modelling and performance evaluation of hydrogen-powered heavy haul locomotive. In Proceedings of 2022 Joint Rail Conference, JRC 2022 (pp. V001T05A001-1-V001T05A001-8). Online: American Society of Mechanical Engineers. doi:10.1115/JRC2022-78005


Consideration of roughness and elastic-plastic behavior in a wheel-rail contact modeling for locomotive traction studies

Spiryagin, M., Bernal, E., Oldknow, K., Persson, I., Ahmad, S., Wu, Q., . . . Mcsweeney, T. (2022). Consideration of roughness and elastic-plastic behavior in a wheel-rail contact modeling for locomotive traction studies. In P. Meehan, W. Yan, P. Mutton, & J. Pun (Eds.), Proceedings of the 12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2022) (pp. 611-616). Online: Contact Mechanics and Wear of Rail/Wheel Systems. Retrieved from https://www.cm2022.org/


Construction of rail rolling contact fatigue response diagram based on rollingsliding experimental data

Xie, Y., Ding, H., Lin, Q., Wu, Q., Bernal, E., Guo, J., . . . Zhou, Z. (2022). Construction of rail rolling contact fatigue response diagram based on rollingsliding experimental data. In P. Meehan, W. Yan, P. Mutton, & J. Pun (Eds.), Proceedings of the 12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2022) (pp. 206-216). Online: Contact Mechanics and Wear of Rail/Wheel Systems. Retrieved from https://www.cm2022.org/


Dynamic Features of Motor Electrical System in Locomotive Under Excitations of Wheel Polygonization

Zhou, Z., Spiryagin, M., Chen, Z., Bernal, E., Cole, C., & Wolfs, P. (2022). Dynamic Features of Motor Electrical System in Locomotive Under Excitations of Wheel Polygonization. In A. Orlova, & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, August 17–19, 2021, Saint Petersburg, Russia Vol. Lecture Notes in Mechanical Engineering (pp. 315-324). Cham, Switzerland: Springer. doi:10.1007/978-3-031-07305-2_32


Implementation of the Contact Roughness at the Wheel-Rail Contact Model for Locomotive Traction Studies

Spiryagin, M., Ahmad, S., Bernal, E., Oldknow, K., Persson, I., Wu, Q., . . . Mcsweeney, T. (2022). Implementation of the Contact Roughness at the Wheel-Rail Contact Model for Locomotive Traction Studies. In Proceedings of 2022 Joint Rail Conference, JRC 2022 (pp. V001T07A006-1-V001T07A006-7). Online: The American Society of Mechanical Engineers. doi:10.1115/JRC2022-84116


Investigation on How Rail Surface Self-cleaning Changes the Locomotive Traction Dynamics

Shrestha, S., Spiryagin, M., Spiryagin, V., Arango, E. B., Wu, Q., Cole, C., & Persson, I. (2022). Investigation on How Rail Surface Self-cleaning Changes the Locomotive Traction Dynamics. In A. Orlova, & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, August 17–19, 2021, Saint Petersburg, Russia Vol. Lecture Notes in Mechanical Engineering (pp. 332-341). Cham, Switzerland: Springer. doi:10.1007/978-3-031-07305-2_34


Rail/wheel wear and RCF assessments using 3D train models and a new wear map

Wu, Q., Bernal, E., Spiryagin, M., Krishna, V., Stichel, S., & Cole, C. (2022). Rail/wheel wear and RCF assessments using 3D train models and a new wear map. In P. Meehan, W. Yan, P. Mutton, & J. Pun (Eds.), Proceedings of the 12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2022) (pp. 217-222). Online: Contact Mechanics and Wear of Rail/Wheel Systems. Retrieved from https://www.cm2022.org/


Traction Control Algorithms Versus Dynamic Performance in Light Rail Vehicle Design Architectures

Bernal, E., Spiryagin, M., Persson, I., Ahmad, S., Wu, Q., & Cole, C. (2022). Traction Control Algorithms Versus Dynamic Performance in Light Rail Vehicle Design Architectures. In A. Orlova, & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, August 17–19, 2021, Saint Petersburg, Russia Vol. Lecture Notes in Mechanical Engineering (pp. 78-87). Cham, Switzerland: Springer. doi:10.1007/978-3-031-07305-2_9


Temperature Prediction of Railway Overhead Contact Wire

Anwar, M., Bernal, E., Spiryagin, M., Shrestha, S., Wu, Q., Bosomworth, C., . . . Mcsweeney, T. (2021). Temperature Prediction of Railway Overhead Contact Wire. In ACAM10: 10th Australasian Congress on Applied Mechanics (pp. 33-42). Online: Engineers Australia.


Rolling contact fatigue prediction using locomotive digital twin and a wheel-rail experimental program

Bernal Arango, E., Spiryagin, M., & Cole, C. (2021). Rolling contact fatigue prediction using locomotive digital twin and a wheel-rail experimental program. In ACAM10: 10th Australasian Congress on Applied Mechanics (pp. 89-99). Online: Engineers Australia. Retrieved from https://search.informit.org/doi/10.3316/informit.321618049324108


On-board wheel flat detection for heavy haul wagons using ultra-low power sensor nodes

Bernal, E., Spiryagin, M., & Cole, C. (2021). On-board wheel flat detection for heavy haul wagons using ultra-low power sensor nodes. In CORE2021: Conference Proceedings (pp. 595-601). Virtual: Railway Technical Society of Australasia (RTSA). Retrieved from https://www.core2021.org.au/program/


Innovative sensor-node hardware architecture for on-board heavy haul wagon monitoring

Bernal, E., Spiryagin, M., & Cole, C. R. (2019). Innovative sensor-node hardware architecture for on-board heavy haul wagon monitoring. In P. -O. Larsson-Kraik, & A. Ahmadi (Eds.), Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019): 'Heavy Haul 4.0 - Achieving breakthrough performance levels' (pp. 705-712). Virginia Beach, VA, USA: International Heavy Haul Association. Retrieved from https://ihha2019.com/


Dataset
Smart sensor node for freight wagon condition monitoring systems - PhD thesis studies dataset

Bernal Arango, E. (2021). Smart sensor node for freight wagon condition monitoring systems - PhD thesis studies dataset. (No. Of Pieces: one dataset, 2.28 GB). [Dataset].


Thesis / Dissertation
Smart sensor node for freight wagon condition monitoring systems

Bernal Arango, E. D. (2021). Smart sensor node for freight wagon condition monitoring systems. (Central Queensland University).