A digital-twin-assisted fault diagnosis of railway point machine
by
Shiyao Zhang, Hairong Dong, Ulrich Maschek, Haifeng Song
for
Research Gate
Recommended by
Paul Shale
Chief Commercial Officer
This paper proposes an approach to resolving railway point failure, rather than the results of implementing the proposed solution.
Operational failures of this individual asset cause derailment and collision and therefore the move from manual points to more complex electric points has made maintenance critical - the real-time, sensor based, predictive maintenance capabilities of a digital twin becoming essential.
Why it’s relevant to Nextspace
Of interest to Nextspace Partners is the way the authors break down the operation and failure of this single asset:
- a motor, mechanical and hydraulic gears, throw bars, detection bars, and detection contacts
- monitored by sound, gap, electric power and current
- with four operational phases - start-up, unlocking, moving, andlocking.
Breaking the asset components and functions down is an excellent lesson in the step by step methodology required to identify root causes of malfunction.
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for
IOT Solutions World Congress 2023
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.
