#Mathmod user manual manual#

Papers covering advanced diagnosis and monitoring methods for machines other than induction machines are strongly welcomed. The proposed approaches can be based on improvements of the traditional time and frequency domain and discrete wavelet transform analysis, or modern artificial intelligence-based methods. The proposed papers can deal with detecting winding, bearing or other mechanical faults of the electrical machines and their power converters by means of online and offline, intrusive and non-intrusive, signal-, model- or data-based methods. Therefore, high quality, not yet published papers from researchers and professionals working in the field of the diagnostics and monitoring of electrical machines are expected. The key aim of this Special Issue is to present novel theoretical and applicative research developments covering these topics. It can be used in this way also as a modeling toolbox for control design with MATLAB.Ĭondition monitoring and diagnosis of electrical machines is a crucial industrial task These are indispensable for the safe and reliable working of the electromechanical systems, moreover of those of safety-critical importance (used in energy power generation, transportation, medical and defense applications, etc.). The course is supported by DYNAST, a multidisciplinary and multilevel simulation system freely accessible across the Internet. Novel didactic ideas like remote simulation for hands-on training and knowledge sharing for organisational learning were introduced in the course. Another part of the course based on the extended Lagrangian approach has been covered elsewhere.

#Mathmod user manual manual#

Different approaches to modeling are exploited in the course based both on manual formulation of equations as well as on a modular kit-like modeling without the need to form any equations.

Abstract Outline of a web-based course on unified lumped-parameter modeling, simulation and analysis of multidisciplinary engineering systems consisting of components utilising electrical, magnetic, electronic, mechanical, electro-mechanical, acoustic, electro-thermal, electro-hydraulic and other dynamic effects.

Acknowledgment The course presented in this paper has been developed as a part of the Socrates ODL Transnational Cooperation Project No.