Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI brings a modern approach to maintenance designed for small and medium-sized enterprises. The aim is to reduce costs and simplify the management of production equipment with gearboxes through interpretable artificial intelligence. Using and analyzing operational data makes it possible to better understand the condition of equipment, extend the service life of machines and increase operational reliability. Together, we will find the way to more efficient maintenance.
Get involved and turn your data into maintenance recommendations.
Your data, our know-how, smarter maintenance.
About the IPMAI project
Key benefits
Free data analysis
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IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
IPMAI – Interpretable Prescriptive Maintenance using Artificial Intelligence
Would you like to discuss your case?
Not sure whether our solution is the right one for you? No problem – we will be happy to discuss your requirements with you free of charge and without obligation, and propose a suitable solution. Leave us your contact details and we will get back to you. Or you can contact us by e-mail: obchod@datapartner.cz
Key benefits
IPMAI introduces a modern maintenance strategy for small and medium-sized enterprises, aiming to reduce costs, limit unplanned shutdowns and increase operational reliability using explainable artificial intelligence. The key benefits are:
- Long-term monitoring of wear trends for any equipment with gearboxes, including systems with harmonic drives and bearings, or robots/cobots subject to cyclic mechanical stress.
- Early detection of wear and maintenance needs
- Lower costs of servicing and downtime
- Longer service life of machinery
- Understandable outputs thanks to explainable AI
- Decision support for technicians and operators
- Suitable for small and medium-sized enterprises
IPMAI project goal
The IPMAI project (Interpretable Prescriptive Maintenance using Artificial Intelligence) is developing an AI-based maintenance strategy for production equipment with gearboxes. The goal is to simplify maintenance and make operations more efficient through a data-driven approach.
Basic information about the project can be found here (in Czech).
Use of AI
The system uses explainable artificial intelligence that provides not only results but also a clear justification for them. This makes decision-making easier and allows technicians and operators to understand why a specific measure is recommended. It increases the acceptance of the AI solution and, at the same time, makes it usable even by staff with a standard level of training.
IPMAI's innovative approach
Modern industrial machines consist of a number of interconnected components driven by a gearbox. Until now, the condition of each of them had to be monitored separately. The solution being developed in the IPMAI project brings a new approach – it monitors the condition of the gearbox directly and can detect in time not only its wear, but also problems in connected parts of the machine, such as increased friction caused by insufficient lubrication. Thanks to early diagnostics, maintenance can be planned more efficiently, repair costs reduced and the service life of the entire equipment extended.
IPMAI technology
The solution combines gearbox condition monitoring with machine learning methods. AI models analyze operational data and identify patterns that lead to wear.
IPMAI target group
The project is intended primarily for:
- small and medium-sized manufacturing enterprises (SMEs), responding to the need for more efficient maintenance with limited staff capacity,
- operations with mechanical drives and gearboxes,
- maintenance teams looking to digitalize and automate decision-making.
IPMAI project partners
2 countries – 6 regions – 1 goal
We are developing the tool in cooperation with project partners from academia and industry. A consortium from all six regions of the programme area has been formed for IPMAI. The composition of the consortium can be found here (in Czech).
It is also ensured that knowledge related to AI in industry and society is disseminated in all regions of the Interreg AT-CZ programme area.
Get a free analysis of your operational data
- Do you want to prevent unplanned machine downtime?
- Do you collect operational data but struggle to detect emerging failures in time?
- Are you interested in how artificial intelligence can support predictive and prescriptive maintenance?
We will analyze your data using a demonstration version of the software developed within the IPMAI project, which uses explainable artificial intelligence methods to support predictive and prescriptive maintenance.
By taking part in the project, companies also help test the solution under real operating conditions. This allows it to be further improved and adapted to the needs of practice.
Find out what your data reveals
Send us a short sample of operational data from your equipment. In most cases, a simple table (for example in Excel or TXT format) with time-stamped records of the measured values is sufficient.
You will receive a free overview of:
- possible signs of emerging failures,
- unusual equipment behavior,
- recommendations for more efficient maintenance,
- options for using artificial intelligence in your operation.
We will send you the results by e-mail, or we will be happy to go through them with you in person and explain them.
Your data is safe
We treat your data confidentially and use it exclusively for this analysis. The security and protection of your data are our priority:
- data is processed locally by our software – we do not use public cloud services
- we do not share data with any third parties
- after the analysis is completed, we handle the data according to the agreed rules
If your data does not require a special transfer method, you can attach it directly. Otherwise, leave us your contact details and together we will find a secure solution.
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