We analyze the sensor readings recorded by your machines and systems with the aim of identifying anomalies that indicate malfunctions or incipient faults. Sensor data forms the basis for understanding the behavior of your machines. Each system exhibits characteristic patterns in different operating modes, from start-up and normal operation to special load conditions. Deviations from these patterns allow early detection of whether a machine is operating reliably or whether a wear-related failure is imminent.
The first step is AI-supported anomaly detection. This is based on the previously recorded healthy operating values of a machine and reliably detects deviations from the normal state. Even if the specific cause has not yet been identified, this method delivers results at an early stage and highlights potential problems.
Once there are enough failure cases, more in-depth analyses can be performed and the causes of malfunctions can be specifically identified. This allows wear and tear or faulty components to be precisely located and appropriate maintenance instructions to be derived. In this way, your AI develops from pure anomaly detection into a reliable tool for informed maintenance decisions.
In the final step, we train your AI models to recognize and identify failure causes even more clearly. This requires continuous observation over a longer period of time and sufficient high-quality data. With our AI University, we offer a structured program that supports you in training, adapting, and continuously improving your models.
Learn moreWe accompany you step by step in the creation of individual AI models for your predictive maintenance, regardless of whether you have existing historical data or not. From the creation of your personalized retrofit kit, to the analysis of your machine and plant data, to the ready-to-use solution. Take your maintenance to a new level.
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We evaluate your existing machine data, identify patterns, and check which parameters are particularly well suited for AI-based condition monitoring.
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Together, we discuss the results of the analysis, reveal the potential hidden in your data, and evaluate how and whether a potential predictive maintenance application can be used.
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We then develop your customized monitoring solution based on your data, including a dashboard, alarm functions, and sensors, and integrate it seamlessly into your existing infrastructure.
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We configure our sensor hub to monitor your individual machine or plant and retrofit suitable sensor technology to accurately record relevant operating data for further processing.
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With your Retrofit Kit installed, live data from your machine or plant is collected over a defined period of time and stored securely in the cloud or locally. This enables us to create the basis for reliable analyses.
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We evaluate your collected machine data, identify patterns, and check which parameters are particularly well suited for AI-based condition monitoring.
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Together, we discuss the results of the analysis, identify potential savings, and define how predictive maintenance will be implemented in your company.
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We then develop your customized monitoring solution based on your data, including a dashboard, alarm functions, and sensors, and integrate it seamlessly into your existing infrastructure.
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