Now showing items 1-5 of 5
Evolving neural fuzzy classifier for machinery diagnostics / by Ofelia Antonia Jianu.
"The classical techniques for fault diagnosis require periodic shut down of machines for manual inspection. Although these techniques can be used for fault diagnosis in simple machines, they can rarely be used effectively ...
Self-tuned neuro-fuzzy controller based induction motor drive / by Zhi Rui Huang.
Among various ac motors, induction motor (IM) occupies almost 90% of the industrial drives due to its simple, robust construction and generally satisfactory efficiency as compared to dc motor. However, the control of IM ...
Development and implementation of various speed controllers for wide speed range operation of IPMSM drive / by Md Muminul Islam Chy.
Despite many advantageous features of interior permanent magnet synchronous motor (IPMSM), the precise speed control of an IPMSM drive becomes a complex issue due to nonlinear coupling among its winding currents and the ...
Evolving neuro-fuzzy tools for system classification and prediction
"Classification and prediction algorithims have recently become very powerful tools to a wide array of real-world applications. Some real world applications include system condition monitoring, bioinformatics, robotics, ...
Development and analysis of a self-tuned neuro-fuzzy controller for induction motor drives
Induction motors (IM) have been widely utilized in industry for variable speed drives due to some of their advantages, such as rugged construction, low cost and reliable service with easy maintenance, as compared to ...