Bachelor's Thesis/Master's Thesis - From Data to Insights: Intelligent Pattern Recognition for Machine Condition

WAFIOS is one of the world's leading companies in special machine construction. We develop, design and manufacture technically sophisticated machines for wire and pipe processing and cold-massive forming. With our machines, our customers produce for the most diverse industrial and living areas. In the field of e-mobility, our machines are also an important part of the implementation of technology change. We employ around 1,000 employees in a modern world of work with a lot of freedom for creativity and personal development. We are looking for a motivated personality (m/w/d) to further expand our digital services activities! The aim of this thesis is to develop a data-based method for automated analysis of sensor data. These arise in the case of standardized movement sequences of the machine, in which, in particular, current profiles are recorded. The aim is to make statements about the state of the machine with the help of modern data analysis methods and to automatically detect concrete fault images in the future. An extensive, constantly growing database is available, which contains both rated and unrated datasets. This provides ideal conditions to significantly improve or completely redesign existing assessment procedures.

Analysis and preprocessing of real fingerprint data (e.g. drive currents, time series) Development of a classification method based on existing, manually evaluated datasets Use of clustering and anomaly detection methods for automated grouping of unrated fingerprints Extension to problem detection: assignment of vulnerabilities to typical fault images (e.g. friction, play, wear) Comparison of different methods for improving recognition quality Optional: Visualization of results or prototypical integration into an existing analysis dashboard

Studies in Computer Science, Data Science, Applied Mathematics or Similar Interest in data analysis, time series processing and industrial applications Knowledge of Python and how to use analysis libraries (e.g. Pandas, NumPy, SciKit-Learn, TensorFlow) Independent, structured working and analytical thinking Communication joy in exchange with other departments

A practical, data-based topic with high relevance for Industry 4.0 Access to extensive real machine data from production and service Flexible coordination of your times and working days Competent technical support in the fields of development and data science A modern, valuable and technology-driven working atmosphere Possibility to take over to a student office or permanent job after graduation JOBV1_EN