Our customer from the automotive industry had the need to monitor the long-term quality of components in the area of fuel systems. Our task was to develop a concept for data analysis and validate a prototypical application to optimise the condition monitoring of the engine.

To validate the concept and optimise the data analysis, we consolidated the existing database queries and added more data. We extended the data analysis by adding more engines, the scope of which can be varied via an external control list. The optimised database queries and the extended data were then further developed into a fully automated ETL load path.

The extended data enabled us to create vehicle life histories and analyse series-specific fault histories based on the long-term quality data. Our customer was able to improve the quality of the fuel systems and optimise the condition monitoring of the engine.

For the data analysis, we used data science methods to consolidate and extend the existing database queries. We used machine learning methods to automate the analysis and improve the results. The ETL load path was implemented using Apache Kafka and Apache Spark. By using these technologies, we were able to make the data analysis more effective and efficient.

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Our customer, a renowned software house, was faced with the challenge of expanding the monitoring software of painting robots of a machine manufacturer in order to introduce an innovative component for the early detection of errors. In order to prove the functionality of this early detection within the framework of a proof of concept, it was crucial for the software manufacturer to develop functioning detection models.

Working closely with our company's data science team, a customised machine learning workshop was conducted to meet the client's specific requirements. In this workshop, meaningful variables for the fault patterns were developed using the existing log data, a process also known as feature engineering. By carefully selecting and preparing these variables, we were able to create a solid foundation for the model development.

In the next step, classification models were developed to effectively identify the error patterns. Different methods were applied and their performance was assessed using evaluative metrics. Our experts were thus able to identify the best models and derive specific recommendations for implementation. We worked closely with the software developers to provide them with clear instructions and guidelines for integrating the error detection component into the existing monitoring software.

Thanks to the successful proof of concept, our customer was able to demonstrate the impressive performance of the developed component to its machine manufacturer. The precise detection models and robust evaluation of the processes delivered convincing results that strengthened confidence in the new early detection solution. Our customers were able to highlight the benefits of the improved defect detection for their painting robots, thus increasing the efficiency and quality of their processes.

In addition, the software developers received concrete instructions on how to implement the error detection component. This included detailed steps required to integrate the models into the existing software. Our comprehensive documentation and clear guidelines facilitated the developers' implementation and ensured a smooth integration of the new functionality.

With our expertise in data science and artificial intelligence, we were able to help the software house overcome their challenges in the area of error detection. Our machine learning workshop and the model developments based on it not only clarified the performance of the component, but also led to concrete recommendations for action for the implementation.

Our machine learning workshop is specifically designed to help companies implement data analytics and artificial intelligence into their business processes. By using relevant keywords, such as "machine learning workshop", and placing them strategically in the text, we optimise the content for search engines. This helps potential customers looking for data analytics and artificial intelligence solutions to find our company as a trustworthy partner.

If you want to optimise your business processes and benefit from the advantages of advanced data analysis and artificial intelligence, contact us. Our team is at your side with its expertise and commitment to make your projects a success.

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