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Track Risk Management Software (TRIMS)

TWI have integrated machine-learning tools with decision support tools (with reference to the second strand shown below).

The (rail) track risk management software (TRIMS) is an example.

  • The software develops risk profiles of track segments, where ‘risk’ is a combination of susceptibility to failure (SoF) and the consequence of failure (CoF)
  • SoF is determined using AI/machine learning techniques on databases that include maintenance data, geographical information, weather data and population density
  • CoF is currently determined using Network Rail’s MAC code but can be customised to end-user requirements
  • The risk profile of the track system comprising track segments is shown on a user-friendly risk matrix (see figure, below) that will support maintenance personnel in identifying high risk track segments, thereby enabling them to focus inspection and maintenance on critical track segments and carry out risk mitigation actions, such as installing sensors
  • Where time-based inspection regimes are in place, the approach can support better preparation and planning by providing advance estimates of risk

TRIMS builds on an Innovate UK funded project; more information can be found here

Avatar Ujjwal Bharadwaj Section Manager, Technology Innovation Management (TIM)

Ujjwal leads a team of experts that brings about innovation in engineering. This is by interacting with stakeholders, analysing situations that need resolving or improving, and developing business propositions to gain funding to develop solutions.

Ujjwal has worked on a variety of proposals and delivered complex projects such as those developing approaches to enable asset operators make optimum decisions based on a multiple criteria, particularly those leading to measurements of risk and life cycle sustainability of processes and asset systems. His experience affords him the ability to work in a variety of industry sectors and a range of technology readiness levels.

Ujjwal has been with TWI since 2005. He is a Fellow of The Welding Institute (FWeldI), a Chartered Engineer (CEng) and a PRINCE2 certified practitioner. He obtained his Doctor of Engineering (EngD) degree from Loughborough University based on his work on approaches to risk-based life management of offshore structures and equipment. He read for an MSc in Risk Management from the London School of Economics (LSE) and a Bachelor of Engineering (BE) degree in Electrical and Electronics engineering from Mangalore University, India.