PR Article

Partium: Revolutionizing Train Maintenance with AI

Partium: Revolutionizing Train Maintenance with AI
© Partium

The integration of Artificial Intelligence (AI) has brought transformative changes in numerous industries, and the field of train maintenance is no exception. The railway industry has increasingly adopted AI-powered solutions to enhance efficiency, safety, and reliability in maintaining trains.

Partium, as a leading AI part search provider, is at the forefront of this revolution, offering innovative AI-driven solutions tailored to streamline train maintenance processes by helping customers find parts faster and optimize data quality. 

The Role of AI in Train Maintenance

Artificial Intelligence has emerged as a game-changer in the railway industry, offering predictive maintenance capabilities that empower operators to detect potential faults before they lead to breakdowns. Machine Learning algorithms analyze vast amounts of data collected from sensors embedded in trains, tracks, and infrastructure. These algorithms can predict the health status of components, identify patterns indicative of potential failures, and recommend proactive maintenance actions.

But that's not all. AI has significantly impacted the process of part search too. AI-powered algorithms enable users to search with an image, text – even in another language-, descriptions, numbers,… and they also improve search accuracy and efficiency by understanding natural language queries. AI can also enrich your part data and add relevant information to it such as EOL and lifecycle management infos, repair notes, safety infos,.. All that leads to finding parts and components faster, and getting your trains back on track in no time.

Partium's Contribution to AI-Driven Train Maintenance

Partium, leveraging its expertise in AI and railway technology, has developed a cutting-edge solution to address the specific needs of train maintenance. Partium helps maintenance teams to find and locate parts faster. Identifying spare parts and components correctly and searching for spare parts in the warehouse often costs valuable time, especially during unscheduled maintenance, and may even keep several mechanics busy. With Partium they can find the right part in a snap, making a huge difference in asset availability & and reliability.

Deutsche Bahn (German Railways) and ÖBB ( Austrian Railways) both are valued Partium customers.

Deutsche Bahn (German Railways) & Partium

DB was looking for a digital and mobile solution to find and locate replacement parts and components faster. The main goal was to reduce the average search time per part from about 15-20 minutes.

It all started with the project for DB Fernverkehr (Long-Haul). Because of the huge success and user adoption in the field, DB Cargo, DB Regio (Commuter trains), DB Fahrzeuginstandhaltung (Fleet maintenance), and the DB Netz (Network) machine pool joined very fast. Partium is now the standard part search technology in basically all of Deutsche Bahn´s repair and maintenance environments

ÖBB (Austrian Railways) & Partium

To work more efficiently and expand the service area, ÖBB was investing more in future technologies such as digitalization and automation. They were looking for a solution that would allow all employees to identify and find spare parts, including the correct part number. ÖBB came across Partium upon the recommendation of Deutsche Bahn. 

Besides finding parts faster and easier, ÖBB benefits from Partium in different ways, for instance:

  • Faster onboarding of new employees
  • Knowledge Management
  • Overall accelerated processes related to internal part procurement/warehousing and maintenance.
Benefits of AI in Train Maintenance

AI in train maintenance can help with accelerated part search processes by relieving experts and empowering (new) employees. Overall sped-up maintenance processes result in increased efficiency and cost savings.

By optimizing maintenance processes and avoiding unplanned downtime, AI reduces operational costs for railway operators, leading to significant savings in the long run. Additionally, proactive, and fast identification of potential faults contributes to a safer railway environment, minimizing risks for passengers and personnel.

The use of AI in train maintenance represents a pivotal step towards a more efficient, safe, and reliable railway system. As technology continues to evolve, the synergy between AI and train maintenance will play a crucial role in shaping the future of rail transportation worldwide.

In this short video, you can see, how Partium changes the way how to search for parts:

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