Weakness analysis for components

We combine the fields of technical engineering with the management of complex technical systems & processes in order to identify and evaluate weak points.

Customers around the world rely on our software solutions
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We pursue the goal of offering our customers holistic software solutions. For this reason, we strive for strategic partnerships with other companies from the railroad industry, research institutes and educational institutions to develop our solutions in further directions. Together with partners who have specific domain knowledge, we realize this vision. In this way, our customers benefit from user-oriented and best-practice solutions in different areas.

Potential weakness analysis

Detect weak points in the system at an early stage and react accordingly

Uptime Engineering GmbH has a distinctive expertise in the field of system engineering. Its core competence lies in modeling and consulting in connection with damage and failure behavior of technical systems.

The model-based software solution Uptime HarvestTM developed by Uptime Engineering for analyzing fleet data compares the current and past condition of systems and automatically detects deviations in system behavior. The core objective is to diagnose the cause of the weak points and derive risk-reducing recommendations for action to prevent unexpected failures.

The Boom Rail Solutions extention module Damage/Cause Analysis is based on the product Uptime HarvestTM and can be seamlessly integrated into the Boom Rail Solutions module landscape.

More about Uptime HarvestTM

Combined domain knowledge

Our competencies lie in the areas of engineering and management of complex technical systems & processes

Detect and eliminate weak points

Support for the optimization of service and maintenance activities.

The combination of Uptime Engineering’s Damage/Cause Analysis module and Boom Rail Solutions takes maintenance to the next level. As the two solutions work together, recommendations for condition-based and predictive maintenance are created. Based on these recommendations, users can continuously adapt the maintenance process to the current condition of the fleet.

Visualization of the operating status

Visualization of the operating status

Deviations in normal operation

Automatic detection of deviating behavior

Fast and easy root cause analysis

Faster and easier root cause identification

Derivation of risk-minimizing measures

Improvement of the maintenance process

Calculation of the useful life

Assessment of the remaining useful life

The system that learns

Learning system

Use Case

In the transport and traffic industry, the availability of the vehicle fleet is one of the most important parameters. The ability to react quickly to unforeseen events is the be-all and end-all here. The desired scenario of every company is to detect errors in the system at an early stage in order to be able to act in time and thus prevent unexpected failures.

The precondition for this is the use of data – both data from the train control system and additional sensor data. Instead of collecting as much data as possible, it is important for reliable predictions to collect the right data – i.e., data that provides information on failure risks. Of course, monitoring all components of a vehicle is not practical and only consumes unnecessary resources. 


For this reason, it is advisable to monitor safety-critical components on the one hand and components with a high probability of failure on the other. The optimum behavior in normal operation represents the comparative value to the actual state. If deviations are detected here, the recommendation system determines the possible causes and derives recommendations for action. This knowledge is not only of great importance to the operator, but also saves service personnel an enormous amount of time when searching for the cause. The solution offers an extremely high detection probability for deviating system characteristics under realistic load conditions. This is the key advantage of the solution.

Our experts in the field of weakness and root cause analysis

Head of Product Management
Robin Kühnast-Benedikt
Head of Product Management
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Product Owner und Consultant
Christian Zwetti
Head of Product & Consulting
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Product Manager
Esther Lichtenegger
Product Manager bei Uptime
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Senior Consultant
Michael Kropf
Senior Consultant­ bei Uptime
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If you have any questions or would like a demo presentation of our solutions, please contact us.

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“We can offer services far beyond the standard functions of regular maintenance software with our standard interfaces for various measurement systems as e.g. NextSense or Dr.Wehrhahn. Measurement values are automatically acquired and used for the evaluation of wear and defects.”

Product Manager: Natascha Man
Natascha Man
Product Manager Rail Solutions, Boom Software AG
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"With rail solutions and its function of mobile production data acquisition, nothing stands in the way of a complete digitalization of the maintenance of rail vehicles and their order processing. With Rail Solutions you are optimally prepared for the paperless age".

Bernhard Labenbacher
Bernhard Labenbacher
Senior Business Analyst & Senior IT Projektleiter, ÖBB-Technische Services GmbH
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“It is important for us to have a competent partner for the processing of international projects, a partner whose solutions can adapt flexibly and easily to the different frameworks and complexity levels of our customers’ projects. Boom has definitely become a qualified partner for our projects on account of this and the construction of software for multinational requirements such as multi-language support or the depiction of corporate structures.”

T-Systems: Manfred Bock
Manfred Bock
Global Industry Leader Rail, T-Systems International GmbH
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“Rail Solutions is optimized for our requirements and offers functions at all levels of our vehicle maintenance processes. Especially the functions in wheel-set management have supported us in building one of the most modern wheel-set reprocessing centers in Europe.”

Michael Fladenhofer
Prozess-Consulting, Rail Cargo Austria AG
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“The data collected by our measurement instruments are promptly available to our customers for analysis with the Calipri-Explorer, which we developed together with Boom Software.”

Clemens Gasser
Geschäftsführer, Nextsense GmbH
Innofreight Solutions GmbH

„The possibility of integrating various interfaces, such as to BMD systems, ensures smooth interaction between the applications, making Boom Rail Asset Management an even more comprehensive tool that significantly supports us in meeting ECM-compliant documentation requirements."

Quality Manager
Wolfgang Seidl
Quality Manager
Focus on
Project Manager: Katharina Moitzi
Next level wheelset management (part 2)
Post from 14. September 2021

Live data from wheelset operation significantly helps in choosing the right maintenance strategy and in demand planning.

Significant relief in the area of ECM with Boom Rail Solutions
Post from 25. October 2021

Innofreight Solutions GmbH develops customized, innovative wagons, containers, and unloading systems for rail transport companies. Around 2,000 InnoWagons and more than 15,000 containers are in use throughout Europe. Some of these are sold to customers, others are leased. However, compliance with the ECM regulation must be guaranteed in both cases.

With BOOM Rail Solutions to seamless, ECM-compliant documentation
Post from 19. May 2022

The new, modern locomotive workshop LOCMASTA in Gramatneusiedl received the ECM certificate for the maintenance delivery function ECM 4 on April 8, 2022 and is now about to be officially commissioned. In the interview, they revealed what challenges a "newcomer" has to face in the ECM certification process and how they master them through digitalization.