Rail systems operate under demanding and dynamic conditions, depending on high-speed mechanical components, heavy loads, and continuous motion across vast networks. Unplanned failures in these systems not only result in costly service disruptions and maintenance operations, but also pose serious risks to passenger safety, infrastructure integrity, and overall network performance.
Rail systems operate under demanding and dynamic conditions, depending on high-speed mechanical components, heavy loads, and continuous motion across vast networks. Unplanned failures in these systems not only result in costly service disruptions and maintenance operations, but also pose serious risks to passenger safety, infrastructure integrity, and overall network performance.
Wheel wear
Rail cracks or breakage
Rail wear and slip detection
Rail joint issues
Generator grounding
problems
Loose connector phasing
Shorted laminations
Loose stator windings
Broken or cracked rotor
bars
Loose rotor bar joints
Stator eccentricity
Eccentric rotor issues
Thermal rotor blow
Loose rotor on the shaft
Outer race damage
Inner race damage
Ball damage
Cocked bearing on the shaft
Cocked bearing in the housing
Cage damage
Creeping damage
Radial and axial clearance issues
Overload failures
Tooth skiving
Tooth wear
All gear-mesh anomalies
Overload conditions
Eccentricity issues
Misalignment
Excessive backlash
Cracked or broken teeth
Hunting tooth frequency detection
Coupling unbalance
In-parallel coupling faces misalignment
Coupling wear & tear
Locked coupling issues
Wedge damage
Wheel wear
Rail cracks or breakage
Rail wear and slip detection
Rail joint issues
Generator grounding
problems
Loose connector phasing
Shorted laminations
Loose stator windings
Broken or cracked rotor
bars
Loose rotor bar joints
Stator eccentricity
Eccentric rotor issues
Thermal rotor blow
Loose rotor on the shaft
Outer race damage
Inner race damage
Ball damage
Cocked bearing on the shaft
Cocked bearing in the housing
Cage damage
Creeping damage
Radial and axial clearance issues
Overload failures
Tooth skiving
Tooth wear
All gear-mesh anomalies
Overload conditions
Eccentricity issues
Misalignment
Excessive backlash
Cracked or broken teeth
Hunting tooth frequency detection
Coupling unbalance
In-parallel coupling faces misalignment
Coupling wear & tear
Locked coupling issues
Wedge damage
Traditional railway maintenance depends on periodic inspections and reactive fixes—often after faults have caused delays or damage.But in modern rail systems, AI-powered predictive maintenance is essential to maintain safety and efficiency. DS-XR integrates DS-Track sensors with the DS-Insight platform, enabling real-time monitoring of rolling stock and track conditions, and detecting faults before they lead to service disruptions.
Traditional railway maintenance depends on periodic inspections and reactive fixes—often after faults have caused delays or damage.But in modern rail systems, AI-powered predictive maintenance is essential to maintain safety and efficiency. DS-XR integrates DS-Track sensors with the DS-Insight platform, enabling real-time monitoring of rolling stock and track conditions, and detecting faults before they lead to service disruptions.
Delphisonic’s predictive maintenance system continuously monitors railway equipment with smart sensors and an AI-powered analytics platform. DS-Track collects real-time data from critical components on locomotives and infrastructure. This data is processed by DS-Insight to detect early signs of failure, optimize maintenance processes and prevent unplanned downtime. The result: safer, more efficient and uninterrupted railway operations.
Delphisonic’s predictive maintenance system continuously monitors railway equipment with smart sensors and an AI-powered analytics platform. DS-Track collects real-time data from critical components on locomotives and infrastructure. This data is processed by DS-Insight to detect early signs of failure, optimize maintenance processes and prevent unplanned downtime. The result: safer, more efficient and uninterrupted railway operations.
Up to 95% failure prevention through real-time condition monitoring and Edge AI-driven anomaly detection — minimizing unplanned maintenance and unexpected breakdowns.
Up to 30% reduction in maintenance costs by enabling data-driven scheduling and eliminating unnecessary part replacements.
Enhanced safety and reliability with early warnings for mechanical faults such as bearing wear, wheelset imbalance, and gearbox failures — reducing the risk of derailments or infrastructure damage.
Increased operational efficiency by ensuring system uptime, improving asset utilization, and reducing emergency interventions.
Low energy, low emissions: The power of sustainability on rails
Low energy, low emissions: The power of sustainability on rails
Sources:
• Our World in Data – Travel Carbon Footprint
• IEA – The Future of Rail
Sources:
• Our World in Data – Travel Carbon Footprint
• IEA – The Future of Rail
Sources:
• Our World in Data – Travel Carbon Footprint
• IEA – The Future of Rail
Sources:
• Our World in Data – Travel Carbon Footprint
• IEA – The Future of Rail
An infrastructure built to move people — not risk
An infrastructure built to move people — not risk
Sources:
• Eurostat – Railway Accident Statistics
• ETSC – Road Safety Progress
• Our World in Data – Transport Safety
Sources:
• Eurostat – Railway Accident Statistics
• ETSC – Road Safety Progress
• Our World in Data – Transport Safety
The Backbone of Future Mobility:
The Backbone of Future Mobility:
Sources:
• OECD ITF – Transport Outlook 2023
• IEA – The Future of Rail
Sources:
• OECD ITF – Transport Outlook 2023
• IEA – The Future of Rail
The Shift to Smart, Proactive Maintenance
The Shift to Smart, Proactive Maintenance
Sources:
• McKinsey – Future of Rail Maintenance
• US DOE – Predictive Maintenance Guide
• [Delphisonic Field Data, 2024]
Sources:
• McKinsey – Future of Rail Maintenance
• US DOE – Predictive Maintenance Guide
• [Delphisonic Field Data, 2024]
At Delphisonic, we have been delivering predictive maintenance and industrial monitoring solutions since 2012 — with a strong focus on the railway industry.
We combine AI-powered analytics with edge-based smart sensors to detect failures early, lower maintenance costs, and ensure uninterrupted operations.
We don’t just monitor rail systems — we engineer them from within, with deep technical know-how and industry-specific insight.
At Delphisonic, we have been delivering predictive maintenance and industrial monitoring solutions since 2012 — with a strong focus on the railway industry.
We combine AI-powered analytics with edge-based smart sensors to detect failures early, lower maintenance costs, and ensure uninterrupted operations.
We don’t just monitor rail systems — we engineer them from within, with deep technical know-how and industry-specific insight.
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