Fault Detection in Induction Motors : A Probabilistic Approach

ISBN-13: 9783639102703 / Angielski / Miękka / 2009 / 148 str.

Rohan Samsi

Opis

Online monitoring of induction motor health is of increasinginterest, as the industrial processes that depend on these motorsbecome more complex and as the performance to cost ratio ofmonitoring technology (e.g. sensors, microprocessors) continues toincrease. Much effort has been directed towards developing methods that use conventional signal processing and pattern classification techniques. This text addresses the main issues of detecting electrical and mechanical faults using theinformation provided by current and vibration sensors, within a probabilistic framework. The faults studied in this work are both electrical and mechanical. The framework developed provides a common solution methodology for the detection of all these different faults. The methodology utilizes a combination of machine modeling concepts, along withwavelet, and symbolic dynamic analysis to ensure early detection. Additionally a sensor fusion technique is also developed to merge information from the current and vibration sensors.

O autorze

Rohan Samsi was born in Mumbai, India. He holds a PhD in
Electrical Engineering from The Pennsylvania State University.
He also holds a Masters degree in Mechanical Engineering.
Currently he works for Infineon Technologies AG in Torrance,
California. His interests also
include playing soccer, cricket, golf and sailing.