scholarly journals Power Engineering Technology Program Development

2020 ◽  
Author(s):  
Ray Miller ◽  
Max Rabiee ◽  
Elvin Stepp
2017 ◽  
Vol 54 (4) ◽  
pp. 299-318 ◽  
Author(s):  
Matthew J Turner

This paper presents the design and development of a laboratory facility to accompany a three-course power systems sequence in the Energy and Power Engineering Technology program at Purdue University. This hardware-based system is modeled after the US electric grid and emulates a complete power network: generation, transmission and distribution, end-use, and control. The approach taken is to divide the lab hardware in two: a simplified three-phase, three-bus system for power transfer from a synchronous generator and infinite bus to a variable load, and a multi-bus single phase system with prime movers and associated generators, transformers, contactors, transmission lines, constant impedance loads, induction motor loads, power factor correction capacitors, DC generation, AC/DC conversion, energy storage, high voltage DC transmission, and supervisory control and data acquisition. The bifurcation of the lab hardware by phase enables the hands on teaching of both three-phase power basics and more advanced content in context of the power grid, supporting a systems-based approach to electric power engineering education.


2012 ◽  
Vol 56 ◽  
pp. 448-453 ◽  
Author(s):  
M.S Yahaya ◽  
A. Noordin ◽  
S. Ahmad ◽  
M. R. Mohamad Sapiee

Author(s):  
Aniruddha Mitra ◽  
Sahana Sen

An existing senior level elective course on vibration in Mechanical Engineering Technology program at Georgia Southern University has been modified significantly. Two major components have been added to this course. Those are theoretical topics on preventive maintenance and laboratory experiments. As a part of laboratory experiments, Fast Fourier Transform (FFT) was introduced as a possible tool for vibration analysis for the purposes of machine diagnosis. Utilizing the current laboratory set up for the data acquisition systems, LabView software has been used for FFT analysis of signals from various sources. Four different modules were developed and implemented. The modules are as follows: random variation in acceleration of a toy cart due to roughness of the track and pulley, regular uniform wave signal which is generated by the lateral vibration of a cantilever beam at its natural frequency, signal generated by the imported raw data from other sources (e.g. MATLAB) and vibration signal of a shaft mounted on ball bearings in order to detect the defects in the bearing. Each of these modules is illustrated in this paper with suitable examples and suggested student activities and involvements. The results from FFT analysis have been cross checked using other methods and observations. As a follow up, students have been taken to a local industry where significant amount of emphasis is given to preventive maintenance of machineries by vibration data analysis using FFT. Future possible projects include the analysis of vibration data gathered from actual machine shop. This project opens the scope for greater collaborative effort between local industries and classroom activities.


Sign in / Sign up

Export Citation Format

Share Document