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Monitoring and diagnosis of fault cases for squirrel cage induction motors can be implemented using the multiple coupled circuit model. However, the identification of the associated model parameters for a specific machine is problematic. Up to now, the main options are measurement and test procedures or the use of finite element method analyses. However, these approaches are very costly and not suitable for use in an industrial application. The purpose of this paper is a practical parameter identification based on optimization methods and a comparison of different algorithms for this task.

Population-based metaheuristics are used to determine the parameters for the multiple coupled circuit model. For this purpose, a search space for the required parameters is defined without an elaborate analytical approach. Subsequently, a genetic algorithm, the differential evolution algorithm and particle swarm optimization are tested and compared. The algorithms use the weighted mean squared error (MSE) between the real measured data of stator currents as well as speed and the simulation results of the model as a fitness function.

The results of the parameter identification show that the applied methodology generally works and all three optimization algorithms fulfill the task. The differential evolution algorithm performs best, with a weighted MSE of 2.62, the lowest error after 1,000 simulations. In addition, this algorithm achieves the lowest overall error of all algorithms after only 740 simulations. The determined parameters do not completely match the parameters of the real machine, but still result in a very good reproduction of the dynamic behavior of the induction motor with squirrel cage.

The value of the presented method lies in the application of condition-based maintenance of electric drives in the industry, which is performed based on the multiple coupled circuit model. With a parameterized model, various healthy as well as faulty states can be calculated and thus, in the future, monitoring and diagnosis of faults of the respective motor can be performed. Essential for this, however, are the parameters adapted to the respective machine. With the described method, an automated parameter identification can be realized without great effort as a basis for an intelligent and condition-oriented maintenance.

The purpose of this paper is to identify the defining characteristics of the extreme luxury fashion business model (ELFBM) and the relationship between this business model and the process of firm internationalization. The paper examines the potentially positive outcomes of differences and distances in the internationalization process of extreme luxury fashion companies.

The paper presents and discusses the data collected during a five-year case analysis of an Italian luxury company. The main characteristics of the business model are identified in terms of products, manufacturing and sourcing, distribution channels, marketing communications and overall characteristics of consumers. The internationalization process is described, with a focus on the Russian market as an emblematic case, highlighting the role of distances – geographic, psychic and cultural – and liabilities, namely foreignness and outsidership in the international expansion of the firm.

The findings of this paper highlight the main features and specific traits of the ELFBM characterized by a global and unique approach to the offer. This business model has in its origin the demand from certain foreign markets, and the elements of the country of origin of the firms coexist and are enhanced by the presence of specific characteristics of the destination countries in terms of niche consumers with economic and cultural characteristics and a strong perception of “Made in” and luxury goods.

The paper contributes to previous studies on the relationships between business models and internationalization. It provides a framework for the “ELFBM,” in which internationalization is a constitutive element of a specific business model rather than a strategy for a business model already defined. Examining the positive side of differences and distances in the internationalization process of firms adopting such business model, the paper contributes to the international business theory and practice. It also expands research on luxury fashion defining an international company which is under-investigated, the extreme luxury fashion company, and the elements that constitute its business model.