Advanced Condition Monitoring and Fault Diagnosis of Electric Machines

Advanced Condition Monitoring and Fault Diagnosis of Electric Machines

Muhammad Irfan (Najran University, Saudi Arabia)
Release Date: September, 2018|Copyright: © 2019 |Pages: 307
ISBN13: 9781522569893|ISBN10: 1522569898|ISBN13 Softcover: 9781522587705|EISBN13: 9781522569909|DOI: 10.4018/978-1-5225-6989-3

Description

The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications.

Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Bearing Faults
  • Electrical Engineering
  • Fault Identification
  • Feature Extraction
  • Generator Faults
  • Induction Motor
  • Motor Faults
  • Spectral Analysis
  • Vibration Monitoring

Table of Contents and List of Contributors

Search this Book:
Reset

Author(s)/Editor(s) Biography

Muhammad Irfan received the B.Sc degree in Mechatronics & Control Engineering from University of Engineering & Technology Lahore, Pakistan in 2009. He joined Roshan Packages Pvt Ltd in 2009 as Electrical & Control Engineer. He had worked on the condition monitoring and preventive maintenance of plant equipment for two years and resigned in 2011. He has completed his Master and Ph.D Degrees in Electrical & Electronics Engineering from Universiti Teknologi PETRONAS, Malaysia in 2013 and 2016 respectively. Currently, He is working as an assistant professor in Electrical Engineering Department at Najran University, Saudi Arabia. His main research areas are intelligent control, Instrumentation, automation & process control, preventive maintenance, condition monitoring, fault analysis, Power Electronics and AC/DC Machines.