2026-04-21T19:49:26Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/52152024-03-04T10:43:23Zcom_20.500.11984_473col_20.500.11984_478

00925njm 22002777a 4500 dc Rivera, Christian A. author Poza, Javier author Ugalde, Gaizka author Almandoz, Gaizka author 2021 The demand for electric machines has increased in the last decade, mainly due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made electric machines that must meet demanding requirements. Therefore, it is necessary for small-medium companies to adopt new technologies offering customized products fulfilling the customers’ requirements according to their investment capacity, simplify their development process, and reduce computational time to achieve a feasible design in shorter periods. Furthermore, they must find ways to retain know-how that is typically kept within each designer to retrieve it or transfer it to new designers. This paper presents a framework with an implementation example of a knowledge-based engineering (KBE) system to design industrial electric machines to support this issue. The devised KBE system groups the main functionalities that provide the best outcome for an electric machine designer as development-process traceability, knowledge accessibility, automation of tasks, and intelligent support. The results show that if the company effectively applies these functionalities, they can leverage the attributes of KBE systems to shorten time-to-market. They can also ensure not losing all knowledge, information, and data through the whole development process. 2076-3417 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162428 https://hdl.handle.net/20.500.11984/5215 knowledge-based engineering electric motor electric machine design Industry 4.0 Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems