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This paper presents a novel technique based on evolutionary algorithms for identifying severity of ball bearing faults in three-phase induction motors. The proposed technique can be used to determine if the induction motor bearings are still in healthy condition or there is some defect at their inner or outer raceway. These defects cause basic motions on the air gap distribution that can be recognized...
The distribution of the induction in the airgap of five-phase induction machines operating with an open phase is investigated. Analytical expressions are given in terms of steady-state symmetrical components which are related directly to the airgap induction. It is shown that under fault, third harmonic induction components arise which can potentially produce extra magnetic losses in the stator and...
This paper presents a study about cost-optimal induction machines fulfilling particular efficiency requirements. As an increase of efficiency inevitably causes higher material costs, the tradeoff for these two conflicting objectives is analyzed in particular. Optimization scenarios comprising crucial design parameters are investigated and evolutionary algorithms are employed to reduce the overall...
Most speed control algorithms for induction motors (IM) require at least two current sensors. Due to the fact that especially the speed sensor can be related to an increased fault probability and maintenance effort, speed-sensor-less control algorithms are applied for drive applications where corresponding dynamical deficiencies can be tolerated. In any case the current sensors are required to employ...
This paper presents a set of rotating machine models, namely synchronous, asynchronous and permanent magnet synchronous machines, with increased stability characteristics compared to traditional state-space based methods. In this work, the machine models are all derived using the state-space-nodal (SSN) theory. This results in machine models that are stable without any parasitic load or numerical...
This paper presents a novel approach for induction machine condition monitoring using stator current measurements. The proposed method, based on hypothesis testing, specifically investigates a binary detection problem: the machine is healthy or faulty. The Generalized Likelihood Ratio Test (GLRT) is used to address this statistical detection problem with unknown signal and noise parameters. It is...
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