Induction machines are among the most widely used devices in industrial processes because they are robust and well suited for a wide range of applications. This critical role underscores the level of attention given to the early detection of potentially damaging faults. Given this important role, one would expect that undergraduate curricula in electrical engineering would devote some attention to the subject, but this is typically not the case. This paper presents an innovative way of presenting induction motor current signature (IMCS) analysis to undergraduate students within very limited time constraints. The signature analysis tool is developed in Matlab® and features two diagnostic methods. It offers electrical engineering undergraduates a very convenient environment in which to learn the basics of induction motor fault diagnosis.
|Original language||English (US)|
|Number of pages||10|
|Journal||International Journal of Electrical Engineering Education|
|State||Published - Jan 2010|
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering