Railway Predictive Maintenance, CBM and Fleet Management

Data driven solutions for an optimal operation and maintenance of your fleet

Easy to use, easy to plan, easy to act.

With the best in class technology LeadMind receives data from many sources and transforms them into actionable information for operators and maintainers.

Working the data efficiently, we co-design the solution to your needs to obtain greater autonomy and control capacity.

LeadMind: complexity taken easy.

LeadMind leverages, any train manufacturer technical data combined with the most advanced analytics management. It enables an effective operation and maintenance plan tailored for each specific fleet and context.

Set up a train operation optimization by maximizing availability.

Minimize breakdowns and its impact on passengers and travel safety.

Arrange condition based and predictive maintenance. Initiate your return of investment.

Just maintain what´s necessary. Set the conditions for the prediction.

Access to reliable data for a correct decision making process.

Improve your reliability growth curve with fastest diagnosis with real time operation data.

Establish measures for resource efficiency in the operation.

Operating cost reduction and energy efficiency.

Projects Awarded

1,406

Train Units Monitored

5,323

Cars Monitored

Integrated best in class technology systems

Technologial Partners

Projects Awarded

1,406

Train Units Monitored

5,323

Integrated best in class technology systems

All kinds of vehicles from any manufacturer.

Integrated best in class technology systems

Technologial Partners

FLEET OPTIMIZATION

Northern Arriva: better and faster operational decisions

Using LeadMind is increasing fleet reliability and availability through optimized maintenance regimes, reduction of repeat failures, expedited fault investigations and trend analysis.

Reduction of delays in operation by having data in real time.
Detection of sections with wheel slide protection activation and slides caused by fallen leaves in autumn.
Reduction of repetitive failures in HVAC through diagnosis and correlation of variables.
Expedite in-service response to incidents resulting in reduced delays.

SMART MAINTENANCE

Metro Chile: reduced breakdowns noticeably

LeadMind detected anomalies in the assets behaviour, reducing the breakdowns to make the fleet the most reliable one in the city of Santiago.

10 to 40 times reduction of breakdown rates.
Proactive maintenance activity thanks to automatic monitoring and integration of systems.
Reduction of errors and generation of alarms in real time daily of all the variables of the MVB.
Control of causes and effects of emergency brake applications.
Safety improvement while improving Wheel Life Prediction.
Reduction of downtime at each station through door monitoring.

COMPREHENSIVE DIGITIZATION

CAF Digital Depot in Zaragoza, Spain: The smartest, is a smart depot

A pioneer technological and cultural transformation that involves new tools and services that ease the train fleet Operation and Maintenance efficiently.

The goal is to reduce the maintenance costs in 10% by:

Reducing the maintenance tasks.
Extending component and equipment life extension.
Asset management improvement.

Together with LeadMind the smart depot also includes these digital services among others:

Implementation of tablets (paperless activity).
Tool calibration controlled by NFC.
Mobile APP to control the warehouses.

ASSET LIFE EXTENSION

Actren: Wheelset Life Extension

Large varied fleet and large varied data, a total of 344 rolling stocks and more than 10 Depots.

Wheelset Life Extension has improved in +152% in the time of 5 years.
More than 15 bogie bearings track incidences avoided in a year.

LeadMind its being a key testing process enhancer and a key technology for incident resolution and thus, it favors the delivery of a train that has been intensely tested, with greater quality and precision.

Oslo tram: Easing diagnostics in the testing phase

The advantages of LeadMind, specifically for units at this stage are:

Start from capturing high quality data
Providing real time information and reducing diagnostic times
Prepare a datalake for future use cases: from safety to predictive maintenance, passenger counting or energy consumption which has been started to be developed in coordination with Sporveien.

Learn more about the project

Source photo: Katrine Holland / Sporveien

6 months have been enough to obtain tangible results with LeadMind, CAF´s digital platform, in the maintenance of the fleet TMB (Transportes Metropolitanos de Barcelona) of line 5, specifically the S/5000.

Barcelona Metro achieves record-time results with CAF´s advanced analytics

LeadMind is facilitating the monitoring of the health status of the fleet and applying the ISO 17359 condition-based maintenance methodology. In order to improve the maintenance strategy, reduce the costs and ensure the availability and safety of passengers on board the Barcelona metro. It has been achieved:

Different indicators have been proposed, evaluated and validated.
Detection of anomalies and predict breakdowns that may cause an incidence in the service.
Anomalies in the operation of doors, compressors and air conditioning have been detected with great accuracy thanks to LeadMind algorithms.
This information has allowed, on several occasions, a predictive intervention to the first symptoms.