London Rail Company manages a 100-year-old metro system where signaling and track assets face constant structural fatigue. Repeated failures at track points were causing significant service outages. By transitioning from reactive maintenance to an enDAQ-powered Predictive Monitoring strategy, they identified the specific vibration profiles causing mechanical failure.
To characterize the environment, engineers configured enDAQ S4 sensors off‑site, then handed them to maintenance crews who installed them track‑side during early-morning maintenance windows.
The sensors recorded vibration and related behavior during peak morning traffic, after which crews uploaded the data for engineering analysis.
By sharing data across Signal Maintenance, Signal Engineering, Track Maintenance, and Track Engineering, they developed a customized plan to damp vibration and address repeat failures on the problem points.
Frequency‑domain analysis of the data showed how a new 40 KPH speed limit shifted the vibration spectrum and reduced damaging amplitudes through the points.
Prior to the enDAQ deployment, one high‑traffic set of points experienced multiple failures, with around 10,000 Lost Customer Hours attributed to that asset alone.
After implementing a speed limit and vibration‑damping measures, and validating their effect with enDAQ sensors, the London Rail Company reported no further failures on that asset.
Rail vibration monitoring can help detect track defects, loose fasteners, geometry changes, wheel-rail irregularities, resonance issues, and other signs of infrastructure degradation.
Useful metrics often include peak acceleration, RMS, crest factor, spectral peaks, harmonics, and impulsive changes over time.
The most reliable approach is to compare against a healthy baseline, look for persistent deviations in frequency content or amplitude, and confirm whether the pattern repeats under similar operating conditions.
Sensor placement depends on the use case, but common locations include the rail, sleeper, bridge structure, or onboard vehicles where the vibration response best reflects the asset being monitored.
Yes. By trending vibration measurements over time, maintenance teams can identify early warning signs and prioritize inspection or repair before a failure becomes disruptive.
enDAQ vibration data loggers capture high‑resolution acceleration data from track and rolling stock, enabling early detection of abnormal vibration patterns associated with track misalignment, bearing faults, and other failure modes.
Continuous vibration monitoring helps UK rail operators detect degradation between scheduled inspections, reduce unplanned failures, and help protect thousands of commuter transport hours per year.
Yes. enDAQ S‑series devices are designed for industrial use, with rugged enclosures, wide temperature ranges, and simple mounting options suitable for track‑side or undercarriage installation.
It’s an estimate of service‑time protected by reducing unplanned failures and delays; for this operator, proactive vibration‑driven maintenance helped maintain more than 10,000 commuter transport hours annually.
They needed to explain repeat failures on a critical set of points, where trains were being taken out of service and Lost Customer Hours were rising, and to confirm whether high vibration levels were damaging equipment.
The vibration data helps define what “normal” looks like, supports a shift toward condition‑based monitoring, and informs specifications for future equipment to withstand at least ten years of service in the measured vibration environment.
