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Electromagnetically excited audible noise - evaluation and optimisation of electrical machines by numerical simulation

Schlensok C., Schmülling B., Giet M., Hameyer K.

Electrical Power Quality and Utilisation. Journal

2006

Vol. 12, nr 2

121-128

Disturbing vibrations and noise of electrical machines are gaining impact. Therefore, it is necessary to estimate the electromagnetic, structure-dynamical, and acoustic behavior of the machine during designing and before prototyping. An adequate tool is numerical simulation applying the Finite-Element Method (FEM) and the Boundary-Element Method (BEM) allowing for the structured analysis and evaluation of audible noise also caused by manufacturing tolerances. The methods developed and proved at the Institute of Electrical Machines (IEM) at RWTH Aachen University can be applied to any electromagnetic device in general.

Process-oriented analysis

Weber M. A., Creux S., Meyer U.

Autex Research Journal

2003

Vol. 3, no. 4

219--224

The consistency in logic between a stationary, process-oriented description of the system and its state-oriented counterpart is an important requirement imposed by automated manufacturing systems. In the late 1980s, computer-aided software engineering tools were developed to work with complex software systems. With these, the focus was on immaterial flows such as data and information. In searching for a method that could graphically describe complex systems, we developed our new methodology, Process-Oriented Analysis (POA). We have enriched the basic static diagram types of Structured Analysis with value and resource flows, and introduce consistent rules for the handling of resources, costs and data. The dynamic diagram types serve to describe the behaviour of the system, and lead to the programming of simulations and machine controls. The static diagram types reveal the structure of the system as flows and processes. The diagrams are hierarchically structured on several levels of detail, allowing an in-depth analysis of complex systems with numerous sub-systems. A system optimisation is possible based on costs or on energy. The dynamic diagrams support plant simulation, real-time monitoring and control systems, and sustainability models. The dynamic diagrams are consistent with the static diagrams, and simplify program design and coding.