Machine Data Processing

Table of contents

1. 1. Our services for companies and research institutions:
   2. Responsible employees
   3. Current projects
   4. Completed projects

We are an interdisciplinary team with roots in the development and analysis of machine tools. We combine expertise in data science for production technology and develop solutions for the use of data in engineering applications. Our focus is on the use of algorithms and their practical provision.

We take a holistic view of machine and technology data "from sensor to visualization and decision". The focus is on the following areas:

• Machine health and process interactions: Condition monitoring, anomalies, root cause analysis, interaction models, prognosis, quality assurance, process chains
• Integration of experience, control, measurement and simulation data
• Methods for research data management
• Assistance for data automation and guidelines for the methodical handling of data, e.g.
  • Holistic methodology for the use of data in technical applications (DMME Data Mining Methodology for Engineering Applications)
  • Paradigm for usable, domain-specific data-based applications and artificial intelligence(Usable AI) in production
  • Procedure for the holistic safeguarding of data quality

• Mixed modeling of real and synthetic data in greybox models

Our services for companies and research institutions:

• Mobile demonstrator LOTTA for explaining and experiencing data-based methods for monitoring machine health and the stability of the machining process
• Roadmap development for the introduction of digitalization of laboratory manufacturing and production
• Development of methods for sustainable research data management
• Data exploration to analyze the potential benefits
• Selection of AI algorithms and proof of concept on the test bed
• Qualification offers for data-driven methods and algorithms with a focus on applications in production and machine maintenance

Responsible employees

Head of department:	Dr.-Ing. Hajo Wiemer
Research Associates:	Dipl.-Ing. Eugen Boos
	Dipl.-Ing. Felix Conrad
	Dipl.-Ing. Lucas Drowatzky
	Dr.-Ing. Valentin Lang
	M.Sc. Mauritz Mälzer
	M.Sc. Dorothea Schneider
	Dipl.-Ing. Kim Alexander Wejlupek
	Dipl.-Ing. Eric Wenkler

Current projects

08/2022 - 07/2025	KIOptiPack - AI-based control of the thermoforming process of plastic packaging with recycled content
10/2022 - 12/2024	ProKI-Dresden - AI in forming technology
11/2021 - 10/2026	PerspektiveArbeit Lausitz - Competence Center for the Work of the Future in Saxony and Brandenburg
02/2021 - 01/2023	PreMaMisch - Predictive maintenance system for mixing plants
08/2020 - 07/2023	RTG 2250 - Impact safety of building structures with mineral-bound composites
07/2019 - 06/2023	SFB/TR B04 - Exemplary parameter identification

Completed projects

09/2019 - 08/2022	AUDIo - Audit solution for ML-based, data-driven services
11/2021 - 08/2022	Milling CPPS - Development of a demonstrator for a milling CPPS
01/2020 - 06/2022	AMTwin - Data-driven process, material and structure analysis for additive manufacturing
10/2020 - 03/2022	KIIng - Holistic applied AI in the engineering sector
11/2019 - 01/2022	PrognoseMES - Development of an AI-based forecasting module for Manufacturing Execution System (MES) for predictive production control
08/2019 - 07/2021	AGENT-3D Flow 4.0
07/2019 - 12/2020	SPM "Smart Production and Materials" performance center
2019 - 2020	Machine learning on the robot cell
05/2017 - 12/2020	C³-Carbon Concrete Composite - Quality assurance
11/2017 - 10/2019	GIgAfLoPs - Holistic machine learning in production
10/2016 - 09/2020	Innoteam "Smart workbench"
10/2016 - 12/2018	C3_V4.11 - Measurement data management and numerical simulation
04/2012 - 03/2014	Bionically optimized hybrid structures for resource-efficient lightweight construction (BioHybrid)
01/2012 - 12/2015	Database-supported modeling and simulation of process chains for the adjustment of predefined properties in a targeted manner and to ensure the reproducible production of thermoplastic textile composite components
07/2011 - 06/2015	SFB/TR 96 C05: Model-based method for the evaluation of solution variants in planning and realization, especially under thermoenergetic, qualitative and economic aspects
07/2011 - 06/2015	SFB/TR 96 B04: Parameterization and model-based correction
04/2011 - 09/2012	Information management system to support technology start-ups and the creation of technology knowledge (Tec-In)
04/2009 - 03/2012	ECEMP / Subproject: BioComp - Biological material composites and their transfer into composite materials
04/2009 - 03/2011	ForMaT2: Model processing process for an effective near-net-shape production of components made of fiber composites
03/2008 - 08/2008	Potential screening for the identification and evaluation of solutions for the economical and reproducible near-net-shape production of components made of fiber composites (ForMaT)
01/2004 - 12/2007	Development of an open model for the representation, planning and monitoring of processes for the production of textile-reinforced composite components