Nexala - A Trimble Company R2M Remote Diagnostics

Nexala R2M

Real-time Remote Diagnostic Monitoring 

Nexala R2M is a real-time remote diagnostic system for rail vehicles.

Nexala R2M processes diagnostic data received from each rail vehicle in real-time. This provides a comprehensive view of the overall fleet status including any specific vehicle faults and identifies any potential faults that may arise.

Nexala R2M also analyses and detects anomalies in specific on vehicle component behaviour and uses this information to identify the health and status of both the individual component and the possible impact that this behaviour may have on the vehicle and to the overall fleet.

The system can also be used after an incident or fault has occurred to replay the history of events and the condition and behaviour of the vehicle that led to the fault or incident.

Nexala R2M provides a combination of both shore-based software and on-train hardware to gather and process the real-time information from the train.

Product Information

Read our solutions brochure.



July 17, 2018—Trimble announced today that Chennai Metro Rail Ltd. (CMRL), operated by the Tamil Nadu State Government and the Government of India, will implement Trimble® Nexala rail asset management solutions. Deploying the Trimble solutions will enable CMRL to improve its real-time status monitoring and analytics capability by accessing up-to-date fleet status, which can improve overall fleet availability and reliability while reducing costs and improving safety.

Feb. 21, 2018Trimble announced today that Swedish train operator SJ has chosen the Trimble® R2M real-time remote diagnostics system and Trimble C2M component condition monitoring system. 



Greater Anglia2.png “Nexala and Greater Anglia have worked together as strategic partners to provide a complete Train Diagnostic System to our fleet.

Using Nexala’s R2M System we are now able to bring real-time fault information into the control room and provide an intelligent decision and planning support system with GPS to ensure effective and rapid fault recovery."

Steve Mitchell
Head of Engineering, Greater Anglia
Read full case study.

irish-rail-logo.jpg“Nexala's real-time remote diagnostic system has been successfully rolled out across our intercity railcar fleet. This has resulted in significant maintenance savings, incident prevention and recovery and improved operational efficiencies."

Peter Smyth
Chief Mechanical Engineer, Irish Rail
Read full case study.


  • Increase mean time between faults reducing maintenance and running costs
  • Improved fleet safety through the immediate identification of faults and preventing potential faults occurring
  • Improved infrastructure management identifying areas of difficulty for the vehicle operator (WSP, sanding & overhead line voltage)
  • Reduced maintenance costs through improved maintenance diagnosis and reduced “no fault found” outcomes
  • Optimise maintenance program by increasing the time between failures and the reduced time taken to address faults
  • Improved fleet reliability and availability


  • Nexala R2M works with existing on-board event recorders and train management systems
  • For older fleets additional sensors can be added as part of routine maintenance and included in the system automatically
  • Interactive and predictive fault detection
  • New alerts and rules can be defined and added to the system without affecting the vehicles in service
  • Real-time cross fleet performance monitoring identifying trends as they occur within the fleet
  • Plot data values in real-time down to the millisecond level
  • Real-time schematic view of key subsystems as the train is in service
  • Vehicle and fleet location tracking through mapping software
  • View cab equipment in real-time from the control room to understand the drivers experience.  When the vehicle is in maintenance the system can be replayed to get an understanding of what the driver experienced for a particular time window
  • Replay fault events to accurately diagnose root causes and repair actions during maintenance
  • Recommendations of maintenance repair actions to the fleet maintainer based on the data received from the on-board systems
  • Monitor areas of low track adhesion and over head line voltage and advise of appropriate action

Example Signals & Subsystems

  • TMS (Train management systems)
  • Event recorders / OTMRs
  • Power pack/traction
  • Brakes
  • Doors
  • Batteries
  • HVAC
  • Safety systems (e.g., AWS/TPWS)
  • PA/PIS