Transformative Remote Condition Monitoring for Northern and Porterbrook
24th August 2026 | 2 min read
The Challenge
By introducing Remote Condition Monitoring across legacy fleets, a collaboration between Northern and Porterbrook is transforming train maintenance. Delivering real-time data on everything from engine oil temperatures to air leaks without requiring manual inspections.
The challenges included:
- Traditional maintenance meant issues were only identified after an asset had already failed.
- A lack of integrated processes to turn large volumes of raw sensor data into actionable insights.
- Time-consuming physical inspections created operational bottlenecks and tied up valuable engineering resource hours.
- Air leaks were notoriously difficult to spot using traditional methods.
- Unmonitored diesel engine idling contributed heavily to carbon emissions.
- Fleet reliability had dropped to a low level, primarily due to powertrain performance challenges.
The Solution
- Installed RCM sensor systems across the Class 170 fleet to replace reactive maintenance with continuous, real-time monitoring of critical assets.
- Developed bespoke algorithms and data-driven Analytics.
- Transitioned routine, schedule-based manual inspections to an automated CBM approach.
- Established real-time monitoring capabilities and deployed dedicated digital systems engineers to ensure critical diagnostic information gets routed to the right teams.
- Introduced analytics to identify and quantify unnecessary engine idling across the rail network.
The Impact
- Fleet reliability surged from 3,000–5,000 Mp701D in early 2025 to nearly 10,000 Mp701D by March 2026.
- Transitioning routine manual inspections to automated Condition-Based Maintenance freed up over 1,800 hours of skilled labour per year.
- 29% reduction in cancellations and 13% reduction in delay minutes.
- Real-time data streams provide advanced warnings of degrading components, allowing maintenance teams to intervene early and ensure a safer railway for both field staff and passengers.
- New analytics detect and quantify excessive diesel engine idling across the network, enabling targeted operational changes to cut emissions and improve air quality at stations and depots.