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  1. Trimble Rail Solutions
24 January 2019

Norske tog AS to Use Rail Asset Maintenance System for Passenger Trains

Norwegian train leasing company Norske tog AS (NT) will roll out the Trimble® E2M engineering asset and maintenance management system for data related to its rail vehicles.

The system will give both NT and rail franchisees in Norway an informative overview of key data for rail assets, their maintenance programmes and maintenance history.

NT will use the Trimble E2M system to provide an overview of the status of maintenance and to access information from franchisees on its leased rail vehicles. This will enable NT to allocate and approve maintenance work, to update technical documentation and maintenance programmes and to receive maintenance history from franchisees’ maintenance management systems.

Tracking maintenance in Trimble E2M will help to safeguard the technical condition of NT’s railway vehicles throughout their lifecycle and to ensure they meet the requirements of government and regulatory agencies.

“Trimble E2M will help to maintain and improve the reliability and safety of rail vehicles that NT owns and leases,” said Luca Cuppari, technical director, NT. “E2M will streamline the flow of digital asset data through the rail vehicle lifecycle for both NT and the franchisee train operating companies.”

“Specifically designed for rail operations, Trimble E2M will provide NT and the franchisees a system to manage the status and history of maintenance across fleets,” said Tomas Larsson, general manager of Trimble’s Rail Solutions Business. “Using E2M to efficiently manage maintenance programmes will play a key role in minimising asset value depreciation and improve asset reliability while reducing operating costs.”

Trimble® E2M is a rolling stock asset maintenance management system for asset owners that is designed to manage key rail asset data, maintenance programmes, and...
Mining the Data You Need: Trimble Machine Vision Systems Monitor Rolling Stock Even in the Harshest Environments.
Condition data of rail assets already exists but often is not fully utilised or not utilised at all.
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