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Leveraging Robust Artificial Intelligence for Mechatronic Product Development—A Literature Review
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作者 Alexander Nüßgen René Degen +3 位作者 Marcus Irmer Fabian Richter Cecilia Boström Margot Ruschitzka 《International Journal of Intelligence Science》 2024年第1期1-21,共21页
Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineeri... Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed. 展开更多
关键词 Artificial Intelligence Mechatronic Product Development Knowledge management Data analysis Optimization Human experts decision-Making Processes V-CYCLE
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综采管理决策专家系统的研究 被引量:2
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作者 魏存平 邱菀华 詹家驹 《决策与决策支持系统》 1997年第4期53-58,共6页
】主要论述了专家系统在综采管理决策中的实现和应用,着重论述了该系统的系统结构,知识表示与推理机制等主要部分.构造的煤炭企业综采管理决策专家系统.可以辅助用户进行综采方案决策分析.实践表明,所构造的专家系统是一种较好的... 】主要论述了专家系统在综采管理决策中的实现和应用,着重论述了该系统的系统结构,知识表示与推理机制等主要部分.构造的煤炭企业综采管理决策专家系统.可以辅助用户进行综采方案决策分析.实践表明,所构造的专家系统是一种较好的方法和工具。 展开更多
关键词 综采管理 决策分析 专家系统
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