A Knowledge Based System architecture to manage and automate the electrical machine design process

Abstract

The rotating electrical machine industry is known for the optimal development of solutions through the experience of manufacturers, and its competitiveness is based on serial production that amortizes initial design efforts. The new concept industry 4.0 is a great opportunity to improve the competitiveness in a global market for small-medium size electric machinery companies. Therefore, it is mandatory these companies adopt new technologies offering customized products fulfilling the customers' requirements according to their investment capacity. To support the aforementioned issue, a new Knowledge-Based System (KBS) model for electrical machine design is introduced. This model socalled GSMWV2 stands for the steps of Gather, Standardized and Model the knowledge with the Wrapper process and the two Verein Deutscher Ingenieure (VDI) methodologies integration VDI-2221 and VDI-2206. It comprises the electrical machine development methodology and the knowledge integration process. This paper will conceptually describe this model and the integration of current industrial technologies such as Model-Based Systems Engineering (MBSE), Project Lifecycle Management (PLM), Project Data Management (PDM), multiphysics and analytic tools co-simulation with KBS tools. This architecture will be able to manage and automate tasks in the development process of electrical machines with emphasis on the design process.