Railway Asset Condition Monitoring

Applications

Light-RailTrainborne

Revolutionize Your Maintenance with AI Precision

Experience unparalleled accuracy in fault prediction with our AI-driven monitoring system. RH-xR harnesses real-time data to keep your equipment running smoothly, helping you anticipate and prevent issues before they occur.

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What does the RH-xR do?

The Rowe Hankins RH-xR Series is an all-in-one device designed for proactive equipment maintenance. It integrates a wireless node, sensor, and power supply into a plug-and-play solution, continuously monitoring mechanical vibration, speed, and condition-based data with an accuracy of 96.60%. Utilizing a self-learning AI algorithm, it predicts potential faults and provides early warnings to prevent downtime.

Ideal for remote and hard-to-access locations, the RH-xR Series ensures optimal performance of motors, gearboxes, and rotating equipment. It uses blockchain-based cloud services to secure data and enhance problem resolution, enabling smarter, data-driven decisions. Embrace the future of maintenance with Rowe Hankins, ensuring reliability and efficiency in your operations.

Benefits

Bogie Main Bearing

Outer race
Inner race
Ball damage
Cooked bearing on the shaft
Cooked bearing in the housing
Cage damage
Creeping damage
Radial and axial clearance
Overload

Compliance and Certifications

IP69K
EN 50155:2007
EMC Directive 2004/108/EC
MIL-STD-461E MIL-STD-461F
MIL-STD-461G MIL-STD-810H
EN 61010-1
2006/95/EC Low Voltage

Coupling

Coupling unbalance
Parallelism in coupling faces
Coupling wear
Coupling misalignment
Locked coupling
Wedge damage

Gear Boxes

Tooth skiving
Tooth wear
All Gear-mesh frequencies Overload
Eccentricity
Misalignment
Backlash
Cracked and broken teeth
Hunting tooth frequency

Main Engine

Broken/cracked rotor bars
Loose rotor bar joints
Stator eccentricity
Eccentric rotor
Thermal rotor bow
Loose rotor on the shaft
Loose stator windings
Shorted laminations
Loose connector phasing
Leakage defects

The Wheel-Rail Mechanism

Wheel wear
Rail crack or breakage
Rail wear and slippage
Rail joint intricacies
Generator grounding issues

Features

Integration of IoT, Big Data, AI, and Telematics

1. IoT ensures seamless connectivity and data exchange.
2. Big Data analytics extracts actionable insights.
3. AI enables predictive maintenance for early problem anticipation.

Mobile App Interface

1. User-friendly mobile app delivers AI analysis results.
2. Empowers quick decision-making for operators and maintenance personnel.

Embedded AI and Machine Learning

1. AI-driven analysis using embedded Machine Learning algorithms.
2. Enhances anomaly detection for potential issues.

Real-Time Monitoring

1. Continuous data collection from the mechanical system in real-time.
2. Sensors for vibration, speed, and temperature offer a holistic system health overview.