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 …
Augmented reality and indoor positioning based mobile production monitoring system to support workers with human-in-the-loop
With the increasing demand for product customization, the exponential increase in large-
scale and small-batch production orders has yielded new challenges for the capacity of …
scale and small-batch production orders has yielded new challenges for the capacity of …
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 …
Augmented classification for electrical coil winding defects
A green revolution has accelerated over the recent decades with a look to replace existing
transportation power solutions through the adoption of greener electrical alternatives. In …
transportation power solutions through the adoption of greener electrical alternatives. In …
In-situ identification of material batches using machine learning for machining operations
In subtractive manufacturing, differences in machinability among batches of the same
material can be observed. Ignoring these deviations can potentially reduce product quality …
material can be observed. Ignoring these deviations can potentially reduce product quality …
Modelling interdependencies in an electric motor manufacturing process using discrete event simulation
IO Escudero-Ornelas, D Tiwari, M Farnsworth… - Journal of …, 2024 - Taylor & Francis
The manufacturing of electric motors is a complex process involving deformable materials
and wet processes. When faults are created during the manufacturing process, they tend to …
and wet processes. When faults are created during the manufacturing process, they tend to …
Machine learning in electric motor production-potentials, challenges and exemplary applications
Artificial intelligence entails a wide range of technologies, which provide great potential for
tomorrow's electric motor production. Above all, data-driven techniques such as machine …
tomorrow's electric motor production. Above all, data-driven techniques such as machine …
Accelerated Production Ramp-Up Utilising Clustering and Visualisation of Process Chain Interrelationships
With the increasing demand for electric cars, automobile manufacturers and suppliers are
ramping up more and more plants for the production of electric traction motors. In the …
ramping up more and more plants for the production of electric traction motors. In the …
Elektromotorenproduktion 4.0
Industry 4.0 is accompanied by a multitude of technologies that offer great potential for
tomorrow's electric motor production. Especially data-driven approaches such as machine …
tomorrow's electric motor production. Especially data-driven approaches such as machine …
[图书][B] Statistical methods for design and analysis of electrical machines
A Khan - 2021 - search.proquest.com
In engineering, the process of designing a product relies heavily on computer simulations
toprovide accurate insights into the product performance, under different design …
toprovide accurate insights into the product performance, under different design …