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

conference contribution
posted on 19.02.2020, 00:00 authored by Esteban Bernal ArangoEsteban Bernal Arango, Maksym SpiryaginMaksym Spiryagin, Colin ColeColin Cole
Onboard real-time condition monitoring of wagons, as distinct from measuring track irregularities using wagons, is still not well developed for heavy haul applications. Track-side equipment detects a wide variety of component and vehicle faults, but is not able to diagnose the train at all times during the trip. Every year, a significant amount of resources are consumed on repairs and downtime caused by faults that could be detected early by equipment mounted on the vehicles. Furthermore, the absence of real-time information of the condition of each wagon leaves the train system at risk to occasional and catastrophic failures and derailments. A comprehensive study has been conducted to establish the current state of the art of on-board condition monitoring systems for unpowered vehicles. Advances in sensors, energy harvesting, and condition monitoring techniques were studied, to explore the possibility of installing health monitoring systems onboard each vehicle of the train. Several applications with the potential to be used in the heavy haul railway industry were found. Application cost, robustness and power supply were identified as still the main challenges to implement real-time condition monitoring using onboard sensors. A positive cost-benefit ratio will enable fleetwide onboard monitoring applications. Hence, the possibility exists for a real-time prognosis and advanced data analytics that enhances rail transport performance levels, and give real-time warnings of severe and fast developing vehicle faults. An innovative hardware architecture that enables low-power and low-cost sensornodes for real-time heavy haul wagon monitoring applications is presented.

Funding

Category 4 - CRC Research Income

History

Editor

Larsson-Kraik P-O; Ahmadi A

Start Page

705

End Page

712

Number of Pages

8

Start Date

12/06/2019

Finish Date

14/06/2019

ISBN-13

9780911382716

Location

Narvik, Norway

Publisher

International Heavy Haul Association

Place of Publication

Virginia Beach, VA, USA

Peer Reviewed

Yes

Open Access

No

Author Research Institute

Centre for Railway Engineering

Era Eligible

Yes

Name of Conference

International Heavy Haul Association STS Conference (IHHA 2019)

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