Application Scenarios of Artificial Intelligence in Electric Drives Production

Mayr, Andreas; Weigelt, Michael; Masuch, Michael; Meiners, Moritz; Hüttel, F.; Franke, Jörg

doi:10.1016/j.promfg.2018.06.006

Cited by 36 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the past few years, AI has been applied in complex operations such as drilling fluid, underground mining [156,157], and maintenance, as well as monitoring of sophisticated manufacturing systems [158]. e emerging AI applications that are currently shaping industry 4.0 journey include self-driving cars, human speech and face recognition, and interpreting of complex data and medicines, for example, cardiovascular medicine) [159]. As we move to industry 4.0, AI advancement gear towards integration of AI technology with other technologies such as Big Data, cloud computing to perform gigantic tasks, and to widen their application in all fields.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

See 1 more Smart Citation

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Bongomin

Ocen

Nganyi

et al. 2020

Journal of Engineering

146

View full text Add to dashboard Cite

The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 were explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight. From the electronic survey, 35 disruptive technologies were quantified and 13 key technologies: Internet of Things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The review identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. This study proposes the need to address the integration of industry 4.0 concepts into the current education system.

show abstract

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

“…For example, a recent finding indicates that AI can be properly applied to handle infectious disease Big Data analytics in healthcare sectors [160]. Notable companies behind AI development include Google, SpaceX, Apple, GE, and Microsoft [159,161].…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Bongomin

Ocen

Nganyi

et al. 2020

Journal of Engineering

146

View full text Add to dashboard Cite

show abstract

“…The common predictive techniques that are often used by data scientists include regression modeling, decision trees, Bayesian networks, Artificial Neural Networks (ANNs), Support Vector Machine (SVM), and nearest neighbor algorithms [48]. (5) Artificial intelligence (AI): Artificial intelligence according to Mayr et al [49] is a commonly used term for engineered learning tools or perception-based modeling, as well as a problem-driven solution-making system that could be used to derived certain problems. AI are also well defined as a focus on human performance or rationality, where their implementation could be to the benefit of the users.…”

Section: Manage Indicators Descriptions Authorsmentioning

confidence: 99%

Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing

et al. 2019

View full text Add to dashboard Cite

To achieve sustainability, the circular economy (CE) concept is challenging traditional linear enterprise models due to the need to manage geographically distributed product life cycle and value chains. Concurrently, Industry 4.0 is being used to bring productivity to higher levels by reducing waste and improving the efficiency of production processes via more precise real-time planning. There is significant potential to combine these two frameworks to enhance the sustainability of manufacturing sectors. This paper discusses the fundamental concepts of Industry 4.0 and explores the influential factors of Industry 4.0 that accelerate the sharing economy in the CE context via a case of electric scooters in Taiwan. The result shows Industry 4.0 can provide an enabling framework for the sharing economy in CE implementation.

show abstract

“…For the past few years, AI has been applied in complex operations such as drilling fluid, underground mining [156,157] and maintenance as well as monitoring of sophisticated manufacturing systems [158]. The emerging AI applications that are currently shaping industry 4.0 journey include self-driving cars, human speech and face recognition, interpreting of complex data and medicines (for example cardiovascular medicine) [159]. As we move to industry 4.0, AI advancement gear towards integration of AI technology with other technologies such as Big data, Cloud computing to perform gigantic tasks and to widen their application in all fields.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

“…For example, a recent finding indicate that AI can be properly applied to handle infectious disease big data analytics in healthcare sectors [160]. Notable companies behind AI development include Google, SpaceX, Apple, GE and Microsoft [159,161].…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

Bongomin¹,

Ocen²,

Nganyi³

et al. 2019

Preprint

View full text Add to dashboard Cite

The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 was explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done from multidisciplinary databases: Google scholar, ScienceDirect, Scopus, Sage, Taylor & Francis and Emerald insight. Results of the electronic survey showed that 35 disruptive technologies were quantified and 13 key technologies: Internet of things, Big data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The study identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. The study proposes the need to address integration of industry 4.0 concepts into the current education system.

show abstract

Application Scenarios of Artificial Intelligence in Electric Drives Production

Cited by 36 publications

References 25 publications

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing

Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

Contact Info

Product

Resources

About