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Vibration analysis for integrity assessment of train doors

Webinars 26 February 2019

Train door failures are proven to be a critical element affecting maintenance scheduling and causing train delays. Across Europe, 25-50% of defects come from door malfunctions. There is also growing dissatisfaction amongst passengers related to punctuality and reliability. Therefore, it is crucial to increase the reliability of service whilst simultaneously enhancing customer safety, which in turn should lead to a reduction in rail operating costs and the ability to offer rail travellers more competitively priced tickets.

Vibration-based condition monitoring is a well-established and widely accepted technique that has commonly been deployed on rotating machinery. Now TWI has taken on the challenge of transferring this knowledge to the monitoring of the structural health and integrity of train doors, which comprise complex movement and mechanisms. The train door mechanism can provide valuable information as it vibrates, with a profile which is characteristic of its health level. Based on vibration analysis and the information obtained from the train door mechanism, an algorithm has been developed which is able to identify deviation from the door’s ideal behaviour and distinguish between different failures mechanisms that could appear across its life cycle.

This FREE webinar will explain the functionality of this algorithm, how different types of failure can be distinguished and will showcase real results from a train door monitoring experiment that has been carried out on a train line in Spain. This is a great opportunity for rail operators and representatives from the transportation and rolling stock industries to identify the potential of this algorithm and its applicability for maintenance purposes.

Time of Webinar: 3pm - 4pm (GMT)

Meet the team

Sofia Sampethai

Project Leader - Condition and Structural Health Monitoring

Sofia is a Project Leader at TWI in the Condition and Structural Health Monitoring section. She is a Chartered Engineer and a Member of the Welding Institute. She has studied Chemical Engineering and her MSc was carried out at ETH Zurich in the department of Process Engineering. Sofia manages funded collaborative projects, including Innovate UK, FP7 and H2020, and the majority of them are in the areas of condition monitoring, sensor development targeting composites failure, and integrity monitoring for casings used in oil and gas industry. She has also been involved in proposal writing for European and national funded projects, and in developing partnerships within industry. Sofia’s work is focused on the research and development of innovative solutions in the area of condition and structural health monitoring.

Linghao Zhou

Project Leader - Condition and Structural Health Monitoring

Linghao is a Project Leader at TWI in the Condition and Structural Health Monitoring section. He is a final year PhD candidate from London South Bank University, focusing on rotating machine condition monitoring and the specialised diagnosis of multi-stage helicopter planetary bearing faults, using advanced vibration and acoustic emission (AE) signal processing techniques. He has published numerous journal papers, and presented in national and international conferences. Linghao has been actively involved in multiple European funded projects, which aimed to develop innovative condition monitoring systems for critical rotational and/or structural assets.

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