OPTIMISING RAILWAY ASSET MAINTENANCE WITH REAL TIME PROGNOSTICS AND HEALTH MANAGEMENT IN THE ABSENCE OF RUN TO FAILURE DATA

Authors

  • Dr. M. RAMASUBRAMANIAN, MV. SRAVANI, S. ISHWARYA, M. NIKITHA

Keywords:

Euros. Prognosis is a challenging technology that aims to accurately predict and estimate the remaining useful life (RUL) of a component or system in order to enhance its reliability and performance.

Abstract

Prognosis is a challenging technology that aims to accurately predict and estimate the remaining useful life of a component or system in order to enhance its reliability and performance. Although prognosis research for predictive maintenance is a well-researchedtopic, practical examples of successful prognostic applications remain scarce. This is due to the lack of available run-to-failure data to build the prediction model as maintenance is usually conducted regularly to avoid significant defects.

Downloads

Download data is not yet available.

References

• C. S. Byington, M. Watson, and D. Edwards, ‘‘Data-driven neural network methodology to remaining life predictions for aircraft actuator components,’’ in Proc. IEEE Aerosp.

Downloads

Published

2023-11-24

How to Cite

Dr. M. RAMASUBRAMANIAN, MV. SRAVANI, S. ISHWARYA, M. NIKITHA. (2023). OPTIMISING RAILWAY ASSET MAINTENANCE WITH REAL TIME PROGNOSTICS AND HEALTH MANAGEMENT IN THE ABSENCE OF RUN TO FAILURE DATA. Pegem Journal of Education and Instruction, 13(3), 504–511. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4046

Issue

Vol. 13 No. 3 (2023): PEGEGOG

Section

Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.