Wayside Monitoring
Automatically capture and analyze rolling stock condition to identify and prevent potential failures and issues
- Automated proactive condition monitoringThe automated, proactive monitoring of rolling stock condition from wayside mounted non-contact measurement technologies provides data feeds that can be processed to effectively assess rolling stock condition from component level to full train inspection.
- Identify faults for preventative maintenanceDigital analysis of key component condition data such as monitoring wheels and brakes for wear and defects can identify faults before possible failure, allowing maintenance to be planned and completed with minimum impact on services. This mitigates in-service failures and enables the efficient planning of preventative rather than emergency maintenance.
- Efficient maintenance saves time and moneyUsing Trimble’s solutions, operators can move on from slow and error-prone manual monitoring of critical components to automated measurements that maximize the life of expensive components, enabling maintenance cost savings and increase the predictability of long term maintenance scheduling.
GET IN TOUCHOn-board or wayside. From operations through to maintenance and repair. Trimble's intelligent rail solutions improve utilization and reliability.
Solutions
AHView
Trimble® AHView wayside brake air hose inspection system operates at mainline speeds and uses a high-speed and high-definition imaging system for inspection and measurement of every air hose arrangement.
Explore >AOAView
Trimble® AOAView is a wayside angle-of-attack (AOA) measurement system that is designed to measure AOA on both wheels of a wheelset simultaneously.
Explore >BrakeView-Disc
Trimble® BrakeView®-Disc automatic wayside vision-based system measures and inspects brake discs at mainline speeds using high-speed digital imaging.
Explore >BrakeView-Pad
Trimble® BrakeView®-Pad automatic wayside vision-based system measures and inspects brake pads at mainline speeds using high-speed digital imaging.
Explore >BrakeView-Shoe
Trimble® BrakeView®-Shoe automatic wayside vision-based system measures and inspects brake shoes (blocks) at mainline speeds using multi-camera high-speed digital imaging.
Explore >CouplerView-CrossKey
Trimble® CouplerView®-CrossKey is an automatic wayside detection system that inspects E-Type coupler securement components at mainline speeds.
Explore >CouplerView-Pin
Trimble® CouplerView®-Pin is a machine vision wayside detection system that detects defects in F-type coupler securement mechanisms.
Explore >CSCView
Trimble® CSCView® undercarriage imaging and automated inspection system produces high quality images to inspect undercarriage structural components of railcars (wagons) and locomotives at mainline speeds.
Explore >TrainView
Trimble® TrainView® full scale train imaging and inspection system consists of multiple line and area scan cameras that provide images of the train at mainline speeds with high resolution.
Explore >TreadView
Trimble® TreadView® system is a sophisticated automatic non-contact optical wheel surface inspection product that inspects wheel tread surface, flange, and plate areas at mainline speeds.
Explore >TruckView
Trimble® TruckView® wayside truck (bogie) inspection vision-based system operates at mainline speeds using high-speed and high-definition imaging for inspection and measurement of trucks.
Explore >WheelView
Trimble® WheelView® automatic wayside systems measure the wheel profiles of moving trains for preventative maintenance, maintenance scheduling, derailment prevention, and to reduce track/rail damage caused by excessively worn wheels.
Explore >CMMS
Trimble® CMMS™ (Condition Monitoring Management System) software is a condition monitoring data management platform that provides a unified environment for wayside detector data.
Explore >TrainWatch
Trimble® TrainWatch software is a powerful virtual train inspection portal that provides a comprehensive environment for train inspectors to inspect a full train using data gathered by wayside equipment.
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