Siemens Railigent X Health States: optimized maintenance decisions through AI

The onboard train diagnostic system reports a possible failure: can the train still remain in service until the next scheduled interval, or is it necessary to bring it into maintenance early? Railigent X provides key data to help make the decision easier.

Digital decision support based on actual asset condition for higher fleet availability and more efficient maintenance
The goal of a maintainer is to ensure high fleet availability. At the same time they need to manage their maintenance resources such as depot capacity, personnel and material in an economical and sustainable manner. Railigent X provides applications like Health States and Remaining Useful Life which use an AI-based, decision-support model to analyze component data from different sources and create consistent assessments. This helps maintainers make better maintenance planning decisions – during unplanned incidents as well as daily service operations.

Learn about Health States and other powerful Railigent X applications live at this year’s InnoTrans – just one example of how we’re delivering on our architectural promises made at the previous event. For a preview, read more below.

Comprehensive understanding of how your bogies are doing
Let’s take bogies as an example, a critical subsystem that accounts for a major share of the total maintenance cost of a train. Especially wheels are subject to heavy mechanical stress. Slippery tracks, heavy braking and faulty brakes or bearings can lead to flat spots. It’s crucial to detect and rectify such issues quickly – to minimize operational impact and prevent further damage to train or track.

The Railigent X application Health States provides maintainers with AI-driven data on the condition of each bogie and other critical assets, while also interpreting that data in a way that enables maintenance planning decisions and timely intervention.

How it works: Health States powered by Railigent X
Get a comprehensive overview of the condition of your assets. See the whole fleet at once or focus on an individual train or component for actionable insights.

Knowing actual asset conditions helps maintainers reduce unnecessary maintenance work and material consumption. This starts with collecting condition data from various sources, e.g. on-board bogie monitoring, underfloor wheel lathe and automated vehicle inspection (AVI) systems. While these data provide different perspectives on the condition of a particular component, it’s essential to interpret them in the right manner and draw the right conclusions.

This is exactly where Health State’s powerful decision-support model comes into play that lets maintainers know how each bogie is doing and which maintenance actions need to be planned.

Health States visualized for a bogie
Yellow and red warning signals clearly show the condition of different parts of the bogie and support the maintenance planner in making the right decisions.

Based on the experience that Siemens Mobility has amassed from thousands of trains in operation, the comprehensive AI model of Health States interprets live data into an easy-to-read visualization. Familiar traffic-light colors provide direct insight into the condition of different components.

The Health States application thereby consolidates the data from all relevant sources and creates one consistent assessment.

In addition, Health States as part of the Railigent X platform supports a high level of interoperability with other IT systems, enabling a seamless end-to-end workflow. For example, it allows for an automated generation of workorders with all relevant data in the maintainer’s Computerized Maintenance Management System (CMMS) via a standardized data interface, i.e. API. Thus, a consistent workflow can be achieved from the first failure alert to the successful completion of the workorder, helping to avoid unnecessary manual intervention.

Thanks to its comprehensive decision-support model and integrated approach, Health States saves time and resources in a number of ways. The main benefits are: