Lean 4.0-A conceptual conjunction of lean management and Industry 4.0
Applying lean can boost a firm's performance significantly by focusing on value-adding
activities. Additionally, Industry 4.0 is regarded as another promising trend in industry …
activities. Additionally, Industry 4.0 is regarded as another promising trend in industry …
Weld quality monitoring via machine learning-enabled approaches
Welding Engineering is one of the most integral parts of manufacturing engineering, which
involves joining two different materials via various types of processes. Complexities in …
involves joining two different materials via various types of processes. Complexities in …
A Review of Data-driven Surrogate Models for Design Optimization of Electric Motors
Electric motor is one of the core components of electronic propulsion systems and plays an
essential role in the industry. The optimal design of an electric motor poses a complex …
essential role in the industry. The optimal design of an electric motor poses a complex …
Machine learning in production–potentials, challenges and exemplary applications
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Evaluation of machine learning for quality monitoring of laser welding using the example of the contacting of hairpin windings
In a world of growing electrification, the demand for high-quality, well-optimized electric
motors continues to rise. The hairpin winding is one such optimization, improving the slot-fill …
motors continues to rise. The hairpin winding is one such optimization, improving the slot-fill …
Electric motor production 4.0–application potentials of industry 4.0 technologies in the manufacturing of electric motors
Industry 4.0 (I4. 0) is accompanied by a variety of technologies which offer great potential for
optimizing the manufacturing of electric motors. However, the application of I4. 0 …
optimizing the manufacturing of electric motors. However, the application of I4. 0 …
Analysis of AI-based single-view 3D reconstruction methods for an industrial application
J Hartung, PM Dold, A Jahn, M Heizmann - Sensors, 2022 - mdpi.com
Machine learning (ML) is a key technology in smart manufacturing as it provides insights into
complex processes without requiring deep domain expertise. This work deals with deep …
complex processes without requiring deep domain expertise. This work deals with deep …
Application scenarios of artificial intelligence in electric drives production
Artificial intelligence (AI) is the overall term for technologies used to build intelligent systems,
no matter whether utilized in an industrial or private environment. However, hardly any AI …
no matter whether utilized in an industrial or private environment. However, hardly any AI …
Conceptual design of an intelligent ultrasonic crim** process using machine learning algorithms
Abstract Machine learning (ML) is a key technology in smart manufacturing. In contrast to
common physical simulations, ML algorithms offer insight into complex processes without …
common physical simulations, ML algorithms offer insight into complex processes without …
Towards an intelligent linear winding process through sensor integration and machine learning techniques
Industry 4.0 is associated with numerous technologies, which offer great potential for
optimizing linear winding processes as used in electric motor manufacturing. To further …
optimizing linear winding processes as used in electric motor manufacturing. To further …