CHECK
Real-time fleet health diagnostic through onboard and wayside monitoring.
FLEET MANAGEMENT
Real-Time Data for a Seamless Passenger Experience
FLEET MANAGEMENT
Precise control over asset performance, operational efficiency, and energy consumption, transforming raw data into actionable insights that drive informed decision-making and continuous improvement across the entire rail ecosystem.
Inside the Platform
Explore the core modules designed to give your operations and maintenance teams total control over the fleet.
Fleet Overview
In-Depth
Diagnostics
Incident
Management
Proven Operational Success
“WE CAN READ THE TRAM FROM A DISTANCE.”
LeadMind gives us all necessary operational information regarding the behaviour of the trams, a quick overview of the fleet health. The advantage is that we get clear, correct, accurate and real time information about the trams.
Kees Van de Roep
Process Manager Assets Rolling Stock.
“IDENTIFY ISSUES AND PROVIDE AN IMPROVEMENTS.”
Serco Caledonian Sleeper now have the ability to use real time data from LeadMind to monitor the fleet in service to identify issues and provide an improved level of engineering support to our Train Managers.
Graham Eastwood
Head of Depot Contracts.
“WE CAN USE OF REAL TIME DIAGNOSTIC TOOLS”
«The track to train connectivity allows use of real time diagnostic tools through allowing operators and maintainers to provide the safest and most reliable system possible for the network. Since introduction Canberra Light rail have enjoyed the use of the real time system and data logging to the benefit of all.»
Andrew Pearce
Director Of Engineering Canberra Metro Operations at CMET.
FLEET STATUS
FLEET STATUS
Centralized Monitoring of Fleet Health and Alarm Contextualization
Precise control over asset performance, operational efficiency, and energy consumption, transforming raw data into actionable insights that drive informed decision-making and continuous improvement across the entire rail ecosystem.
Fleet Health Overview
Real-time and historical alarm visualization.
Prioritization of alarms by frequency and type.
Identification of recurring issues to support predictive maintenance.
Remote Data Access
Access to onboard information without physical presence.
Includes mileage tracking, software versioning, and communication logs.
Contextual Alarm Analysis
Geolocation of alarm events for route/service-level diagnostics.
Enables incident contextualization for root cause analysis and penalty assessment.
Maintenance Optimization
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Remote Access to Train Information: Improves responsiveness and reduces downtime.
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Establishes Real Alarm Criteria: Aligns alarm data with maintenance KPIs.
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Provides Route/Service-Based Data: Enhances operational decision-making.
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Creates Context Criteria for Incidents and Penalties: Supports accountability and service reliability.
INSPECTION STATION
INSPECTION STATION
Advanced systems capturing precise and accurate measurements and high-resolution data, seamlessly integrated into daily operations for full asset visibility without service interruption.
Wayside Equipments and Analytics Solutions
Wheel Inspection
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WPM: Wheel Profile Monitoring
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WDD: Wheel Defect Detection
Brake Inspection
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BDM: Brake Disc Monitoring
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BSM: Brake Shoe Monitoring
Pantograph Inspection
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PM: Pantograph Monitoring
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CSM: Collector Shoe Monitoring
Car Inspection
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BV: Bogie View
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SV: Side View
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RV: Roof View
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UV: Underframe View
“Saves around 90% of the time”
Saves around 90% of the time required in comparison to have it measured manually and the quality of the measurement it is also better.”
Ernst Visser
Technical Manager Assets Rolling Stock
FILTER
Actionable alarm intelligence for optimized maintenance and fleet management.
SMART ALARMS
SMART ALARMS
Prioritized Alarm Management for Data-Driven Maintenance Decisions
This dashboard addresses two key challenges in alarm management:
Information Overload
The volume of events generated by onboard systems can be overwhelming and difficult to prioritize without proper filtering.
Misleading Prioritization
Centralizes alarm data from multiple sources—including HMI (Human-Machine Interface), CBM (Condition-Based Maintenance), and OT (Operational Technology)—and allows filtering based on service status (in-service vs. out-of-service), enabling a clear overview of fleet health and operational impact.
Key Functionalities and Benefits
Discover how intelligent filtering transforms raw alarm data into actionable maintenance priorities.
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Focuses on alarms pre-selected by workshop teams as critical.
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Filters out non-essential data to streamline analysis and decision-making.
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Prevents loss of visibility on alarms with potential severity.
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Ensures that critical issues are not overlooked due to data saturation.
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Enables prioritization of workshop tasks based on alarm relevance.
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Supports proactive maintenance planning and resource allocation.
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Identifies whether anomalies are isolated to specific Unit Trains (UTs) or systemic across the fleet.
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Facilitates strategic interventions and fleet-level diagnostics.
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Consolidates alarm data from HMI, CBM, and OT systems.
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Provides a unified view of operational health across platforms.
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Allows filtering by train service status to contextualize alarms.
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Supports targeted analysis for in-service vs. out-of-service vehicles.
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Improves efficiency in maintenance planning and execution.
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Enables evidence-based prioritization of corrective actions.
EXPLORE
In-depth analytics and root-cause diagnostics, leveraging Condition Based Maintenance (CBM) to prevent future failures.
EXPLORE & DIAGNOSE
EXPLORE & DIAGNOSE
Remote and Precise Fault Diagnosis
The Exploration & Diagnostics (E&D) module is designed to facilitate remote and accurate identification of train malfunctions by enabling comprehensive visualization and analysis of onboard system variables.
Key Functionalities and Benefits
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Access to all MVB (Multifunction Vehicle Bus) variables at native frequency.
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Customizable graphical interface for tailored analysis.
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Variable dictionary for efficient parameter identification.
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Template system for reuse and collaboration across diagnostic teams.
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Prevents loss of visibility on alarms with potential severity.
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Ensures that critical issues are not overlooked due to data saturation.
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Enables prioritization of workshop tasks based on alarm relevance.
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Supports proactive maintenance planning and resource allocation.
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Identifies whether anomalies are isolated to specific Unit Trains (UTs) or systemic across the fleet.
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Facilitates strategic interventions and fleet-level diagnostics.
CONDITION BASED MAINTENANCE
CBM
Maintenance Strategies Based on Real Asset Health
Maintenance driven by real-time asset condition rather than predefined schedules. By leveraging health and life indicators, CBM ensures that interventions are performed only when there is evidence of degradation, optimizing component lifespan and reducing unnecessary maintenance costs.
CBM Objectives
Key Functionalities and Benefits
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Provide real-time insight into equipment condition.
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Detect early signs of degradation to prevent failures.
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Enable targeted diagnostics and proactive maintenance actions.
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Measure actual usage of components (e.g., running hours, cycles, actuations).
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Estimate Remaining Useful Life (RUL) for predictive planning.
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Support lifecycle optimization and resource allocation.
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Cross-analysis of existing maintenance plans with real fleet data.
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Identification of redundant tasks and recalibration of maintenance frequencies.
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Enhances efficiency and reduces operational downtime.
ENGINE
ENGINE 18 DMU TRAIN AND 51 CAR’S FLEET OPERATING IN SPAIN.
CONTEXT
A problem in the diesel engine intake system means a loss of power in it, an error that must be identified and avoided as soon as possible.
CHALLENGE
Right identification of traction engine events prevents engine failures from affecting passenger services.
BENEFIT
A specific indicator is deployed in LeadMind Analytics. It identifies this loss of power caused by a failure in the engine intake manifold. Service affecting issue is predicted. Tasks are automated
HVAC
8 BARCELONA METRO TRAINS. OPERATING IN THE LINE 5, S/5000. 5 CARS.
CONTEXT
LeadMind support the maintenance of 80 HVAC systems. Performances are monitored through 11 indicators/system based on: duty cycle, number of starts, energy consumption, high and low pressures, temperatures, and running time. High circuit pressure monitoring helps identify anomalies.
CHALLENGE
Technologically, LeadMind calculates, at least daily, the 11 indicators per equipment (880 indicators). It also evaluates high-pressure circuit condition and detects HVAC solenoid valves failure mode.
BENEFIT
It is detected that the 5523-unit air conditioning compressor 1 of the car MA1 has an anomaly in the solenoid valve (expected high pressure not achieved). After replacing the valve, the behavior of the equipment returns to optimal.
DOORS
21 AUTOMATIC TRAINS FLEET. 5 CARS.
CONTEXT
LeadMind monitors 840 doors in Metro de Santiago By monitoring the trend followed by the consumption of the door motor during the closing phase, it is possible to identify if there is any anomaly in the door movement phase.
CHALLENGE
Automate the «Sense and response» CBM process. Evaluate that the trend followed by the current consumption of the door is within the expected range.
BENEFIT
The change of one of its axles was carried out since it was with some marks of overpressure and scratches. It was possible to check with LeadMind that the door no longer needs more force to carry out the movement. Door failures are prevented before affecting service. Maintenance costs are also reduced (no need to inspect doors manually) as LeadMind monitors daily performance instead.
COMPRESSOR
60 EMU TRAIN´S FLEET, S/900 AND S/950.
CONTEXT
120 is the total amount of compressors to be monitored in the fleet wit LeadMind. By calculating the balance of the air compressor number of starts, it is possible to identify if there is any anomaly in the air system.
CHALLENGE
Being able to monitor daily that the amount of work done by both compressors of a trainset is similar. Avoid compressors to run more than their «peers». Avoid the need of premature overhauling.
BENEFIT
This intervention has prevented a possible greater incidence on the component causing greater wear in one of the compressors due to the lack of alternation. Inadequate regulation of the system due to the existence of a defective minimum pressure switch. They prevent service affecting failure, avoiding early overhauling and improving reliability and availability. Maintenance costs are reduced (no need to inspect compressors manually) as LeadMind monitors daily performance instead.
BATTERIES
36 EMU S8000 TRAINS AND 288 CARS OPERATING IN BRAZIL.
CONTEXT
A temperature problem in the car R4 of the train S36 is identified with a LeadMind CBM Alarm.
CHALLENGE
Detect the cause of the problem to carry out the maintenance for correct operation.
BENEFIT
The CTrens maintenance team analyzes this train and car and identifies that the battery connector was loose. After retightening the connectors, the problem has been solved with the indicator coming back to normality. Service affecting issue is avoided. Preventive maintenance task can be automated so less human intervention in the workshop is needed. Availability improved.
Proven Operational Success
“SAR advances a condition‑based maintenance approach that focuses on the health of critical systems”
LeadMind is one of the best Reliability Centred Maintenance (RCM) tools used by CAF and Saudi Arabian Railways. Its ability to generate customised rules and instant alerts has helped us operate our fleet efficiently, proactively and above all, safely.
Kamil Hashmi
Engineering Expert, SAR
“6 months have been enough to obtain tangible results”
LeadMind provides a comprehensive, real-time, and remote overview of the technical condition of our rolling stock assets. It enables us to monitor the lifecycle of critical components, detect deviations in their behavior, and anticipate potential failures before they aff ect operations. Aggregated data analysis across the entire fl eet allows us to identify patterns and trends that would otherwise be impossible to detect manually, helping us optimise maintenance intervals and signifi cantly reduce unplanned interventions on the line.
Abel Canedo Sánchez
Rolling Stock responsible for Line 5, at TMB
EVENT CONNECT
Seamless integration of fleet events and operational data to correlate incidents and early detect failure trends.
EVENT CONNECT
Full Autonomy for Event Management
EventConnect is designed to provide full autonomy to the workshop, enabling teams to define, select, and configure HMI and CBM events independently. With this centralized capability, maintenance staff can easily determine which events should be displayed in FleetStatus or used to trigger Work Orders in the CMMS, removing the need for spreadsheets and manual interventions.
Key Functionalities and Benefits
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Complete workshop autonomy to define and configure HMI and CBM events.
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Centralized event visualization directly in FleetStatus.
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Work Order Automatic Creation in the CMMS.
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Customizable rules for alerts, notifications, and WO generation.
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Removal of manual processes and Excel dependency, improving reliability and efficiency.
SMS
Comprehensive management of maintenance schedules, automated work orders, and workshop resource allocation.
SMS: Smart Maintenance Scheduler
Driving maintenance excellence through intelligent planning.
The Smart Maintenance Scheduler (SMS) is designed to provide workshops with a powerful, condition‑based planning system that simplifies and enhances the entire maintenance strategy. SMS helps teams optimize scheduling, reduce operational complexity, and minimize contract‑related costs. This enables maintenance teams to work proactively, aligning resources and activities with actual asset needs rather than static, time‑based assumptions.
Long-Term Planning Projection
Integrates with LeadMind and CMMS systems for real-time mileage data acquisition.
Automatic Mileage Reading
Anticipate malfunctions befoEnables accurate forecasting of maintenance activities over extended periods.re they occur.
Purchase Forecasting
Supports procurement planning by anticipating component and material needs.
Reduced Learning Curve
Simplifies project initiation and accelerates operational readiness.
Budgeting Foundation
(Master Plan)
Serves as a reliable basis for cost estimation and financial planning.
Traceability
Enables users to log all component replacements and modifications within a train
SMART CONTROL
Efficiency, Control, and Consistency Across the Entire Fleet
SOFTWARE UPDATE
SOFTWARE UPDATE
Manage fleet updates, system states, and software versions efficiently, securely, and without physical intervention.
Key Functionalities and Benefits
Fleet‑Wide Software Consistency
Ensures all trains operate with unified, validated software versions aligned with the official repository.
Remote Updates & Rollback
Streamlines update processes, allowing fast deployment and safe rollback when required, minimizing downtime.
Reduced Operational Time
Eliminates repetitive tasks across trains and systems, significantly accelerating maintenance workflows and improving efficiency.
ALIVE REMOTE
ALIVE REMOTE
Enables comprehensive remote operation and management of railway vehicles, addressing both static and dynamic operational use cases.
It allows operators to perform key driving and vehicle control actions without being physically onboard, significantly improving operational efficiency, flexibility, and resource utilization.
Key Functions
Operational Value
- Elimination of unnecessary driver movements to and from vehicles
- Reduction of vehicle preparation and turnaround times
- Increased fleet availability and overall operational efficiency
- Enablement of new remote , centralized and automated operation models
TRACE
Complete lifecycle tracking of critical components and interventions, ensuring full traceability and compliance.
TRACE
Keep track of the configuration of the train units
LeadMind Trace enables users to log all component replacements and modifications within a train, providing full visibility of the current configuration and the historical record of changes.
Additionally, the application manages driver values associated with specific operational parameters such as kilometers, operating hours, and cycles, ensuring accurate monitoring and predictive maintenance planning.
Comprehensive Configuration Tracking
Maintains an accurate and up-to-date record of all components and their changes across the entire fleet.
Specifically Designed for Railway Environments
Ensures robustness and reliability under the operational conditions of the rail industry.
Full Traceability
Provides a complete historical log of component replacements and modifications for compliance and maintenance optimization.
Optional RFID Integration
Simplifies navigation and data entry, reducing the risk of human error.
Driver Parameter Management
Monitors critical metrics (e.g., mileage, hours, cycles) to support condition-based and predictive maintenance strategies.
User-Friendly Interface
Simplifies navigation and data entry, reducing the risk of human error.
Seamless Integration with LeadMind Suite
Works in conjunction with other LeadMind applications for a unified data ecosystem.
DIGITAL LOGBOOK
Real-time driver reporting, standardized data capture, and full vehicle handover traceability.
DIGITAL LOGBOOK
Remote real time driver information
The Digital Logbook replaces fragmented, informal reporting with a fully digital and standardized process aligned with ECM certification (EU 2019/779), transforming how operational issues are captured and managed.
By enabling drivers to record incidents through a structured, user-friendly interface and instantly share them with maintenance systems, it streamlines communication between operations and maintenance, supports faster, data-driven decisions, and allows interventions to be planned in advance.
Enhanced with real-time data integration and full traceability, it improves safety, simplifies compliance, and maximizes fleet availability.
Key Functionalities and Benefits
Remote Real-Time Driver Reporting
Immediate transmission of driver inputs from the field to the maintenance system.
Improved Data Quality
Structured and standardized data collection enhances reliability and usability.
Traceability of Vehicle Handover
Digital tracking of vehicle ownership and operational transitions.
Reduced Workshop Downtime
Early issue detection and preemptive planning reduce time spent in maintenance facilities.
GMAO TABLET
Digital and integrated ecosystem to plan smarter, execute faster, and respond instantly to operational needs.
GMAO/TABLET
Transforming maintenance:
From paper-based to real-time digital operations
We operate through a fully digital and integrated ecosystem that allows us to plan smarter, execute faster and respond instantly to operational needs.
Digitalization with tablets, CMMS and MES (Cocochi) has transformed our workshops into connected, efficient and fully traceable environments, improving train availability, optimizing resources and delivering greater value to our customers.
Smart Planning
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Structured planning in our CMMS.
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Definition and prioritization of: Preventive and Corrective activities
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MES (Cocochi) optimizes and orchestrates execution.
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Alignment with: Workshop capacity & Operational and service needs.
Depot Guided Execution
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Technicians supported by tablets
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Pre-prioritized and sequenced tasks. Ready to execute.
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Access to: Procedures, Technical documentation, Checklists.
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Ensuring consistency, quality and reduced human error.
Real-Time Performance Visibility
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Full real-time data capture: Work performed, time spent and incidents.
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Beyond tracking: focus on efficiency. Measurement of productive time and identification of bottlenecks.
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Full visibility of inefficiencies.
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Enables true understanding of depot performance.
Real-Time Operational Control
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Supervisors have full shift visibility.
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Ability to: Reassign tasks instantly. resolve issues in real time and maintain smooth operations.
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Delivers full transparency and control.
Real-Time Performance Visibility
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Every intervention is fully recorded: What was done, how it was done and who performed it. Including tool usage when required.
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This guarantees accountability, compliance and continuous improvement.