A Training Tool and Methodology to Allow Concurrent Multidisciplinary Experimental Projects in Engineering Education


This paper describes a completely unique Electrical Machine and Power Electronic Coaching Tool (EM&PETT), a technique for using it, and associated experimental instructional activities. The coaching tool is implemented by recreating an entire power electronics system, divided into modular blocks. This method is almost like that applied when analyzing a piece of industrial equipment by the functions of its varied parts. The EM&PETT is divided into 5 areas: the facility block, the electronic switch command, instrumentation, the management system, and the application setting. The training tool lets a user analyze each practical block and therefore the relationships between practical blocks; it can be used either in native or remote mode, so making certain optimal effectiveness of the proposed learning methodology. The students will redesign the hardware and software blocks before reassembling them; this allows numerous different experimental comes to be run concurrently in the same training tool. The results presented here show that EM&PETT improves engineering students' technical skills and their motivation in experimental work.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features - 2018ABSTRACT:A new feature-extraction paradigm for graph-based automatic modulation classification is proposed in
PROJECT TITLE :Optimal Training Design for MIMO Systems With General Power Constraints - 2018ABSTRACT:Coaching design for general multiple-input multiple-output (MIMO) systems is investigated during this Project. Unlike previous
PROJECT TITLE :On the Amount of Downlink Training in Correlated Massive MIMO Channels - 2018ABSTRACT:During this Project, we have a tendency to study the effect of downlink (DL) training on the achievable add rate of multiuser
PROJECT TITLE : Collaboratively Training Sentiment Classifiers for Multiple Domains - 2017 ABSTRACT: We have a tendency to propose a collaborative multi-domain sentiment classification approach to train sentiment classifiers
PROJECT TITLE: Reverse Converter Design via Parallel-Prefix Adders Novel Components, Methodology, and Implementations - 2015 ABSTRACT: In this temporary, the implementation of residue number system reverse converters based on

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry