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Elsevier

Advances in Condition Monitoring and Fault Diagnosis of Power Plant Machinery

  • 1st Edition - April 1, 2027
  • Latest edition
  • Editors: Khadim Moin Siddiqui, Farhad Ilahi Bakhsh, Hafiz Ahmed, Demba Diallo
  • Language: English

Advances in Condition Monitoring and Fault Diagnosis of Power Plant Machinery examines the latest techniques for diagnosing and monitoring electrical machines in power plants… Read more

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Description

Advances in Condition Monitoring and Fault Diagnosis of Power Plant Machinery examines the latest techniques for diagnosing and monitoring electrical machines in power plants. Power plant electrical machinery requires proactive maintenance to prevent failures, reduce downtime, and ensure safety. Emerging advanced and artificial intelligence technologies can help improve performance, reliability, and cost-efficiency in this regard.

Chapters review fault detection, vibration analysis, thermal imaging, oil analysis, acoustic emission, electrical signature analysis, and monitoring of boilers, turbines, and generators. Additionally, the application of new and innovative technologies such as data acquisition, signal processing, AI diagnostics, digital twins, and machine learning to fault detection and boosting plant efficiency are examined. Case studies are included to demonstrate the effectiveness of these technologies in a variety of power plants, including thermal and hydro plants.

This book is valuable to professionals, researchers, students, and educators interested in developing skills for maintaining optimal performance and safety in power plants.

Key features

  • Demonstrates emerging methodologies and technologies for early fault detection and proactive maintenance in power plant electrical systems
  • Includes practical case studies on tools for enhancing troubleshooting skills and improving equipment reliability
  • Examines innovative diagnostic techniques incorporating A.I. and machine learning

Readership

Engineers, Technicians, Researchers, Academicians, Industry professionals, students, and educators working in fault diagnosis and optimization of power plant machinery

Table of contents

1. Introduction to Condition Monitoring and Fault Diagnosis in Power Plants

2. Overview of Power Plant Machinery and Typical Failure Modes

3. Vibration-Based Condition Monitoring of Power Plant Equipment

4. Thermal Monitoring and Infrared Thermography in Power Plants

5. Lubrication Oil Analysis and Tribological Monitoring in Power Plants

6. Acoustic Emission and Ultrasonic Techniques in Power Plant Machinery

7. Electrical Signature Analysis of Power Plant Rotating Machines

8. Condition Monitoring of Boilers and Steam Generators in Power Plants

9. Fault Diagnosis of Turbines and Generators in Renewable Power Plants

10. Sensor Technologies and Data Acquisition Systems in Power Plants

11. Signal Processing Techniques for Fault Detection in Power Plants

12. Artificial Intelligence and Machine Learning for Power Plant Diagnostics

13. Digital Twin and Smart Monitoring Applications in Power Plants

14. Case Studies of Condition Monitoring in Thermal, Hydro, and Nuclear Power Plants

15. Emerging Trends and Research Opportunities in Power Plant Condition Monitoring

Product details

  • Edition: 1
  • Latest edition
  • Published: April 1, 2027
  • Language: English

About the editors

KS

Khadim Moin Siddiqui

Khadim Moin Siddiqui received a Ph.D Degree in Electrical Engineering from Institute of Engineering & Technology, Lucknow (Dr. APJ Abdul Kalam Technical University, Lucknow). He is an Associate Professor with the Department of Electrical & Electronics Engineering, SR Institute of Management & Technology, Lucknow. He has contributed to numerous academic works from publishers of international repute. He is a senior Member of IEEE PES society, IEEE Power Electronics Society and IEEE Signal Processing Society and has contributed to many projects with the organization.

Affiliations and expertise
Associate Professor, Electrical and Electronics Engineering Department, SR Institute of Management and Technology, Lucknow, India

FB

Farhad Ilahi Bakhsh

Dr. Farhad Ilahi Bakhsh received his B. Tech degree in Electrical Engineering and M. Tech. degree in Power Systems & Drives from Aligarh Muslim University (AMU), Aligarh, India, and then received his Ph.D. from Indian Institute of Technology Roorkee, India. Currently he is serving as Assistant Professor in Department of Electrical Engineering, National Institute of Technology Srinagar, Jammu & Kashmir, India. He is founder and Counselor of IEEE Student Branch, NIT Srinagar. His research interests includes Performance Analysis and new applications of Variable Frequency Transformer, Application of Power Electronics & Drives in Renewable Energy Systems (Solar & Wind), Multilevel Converters, Multilevel DC-DC DAB Converters, Alternate Energy Vehicles (Electric/ Hybrid) and Multi-phase Drives.

Affiliations and expertise
Assistant Professor, Department of Electrical Engineering, National Institute of Technology Srinagar, Srinagar (J&K), India

HA

Hafiz Ahmed

Hafiz Ahmed received the Ph.D. degree in automatic control from the University of Lille 1, Villeneuve-D’ASCQ, France. He has worked at Clemson University, Clemson, SC, USA, Asia Pacific University, Dhaka, Bangladesh, North South University, Dhaka, Coventry University, Coventry, U.K., Birmingham City University, Birmingham, U.K., and Bangor University, Bangor, U.K. Presently, he is working with the University of Sheffield, U.K. as a Head of Group - Controls & Instrumentation at the Nuclear Advanced Manufacturing Research Centre. His research interests include applied control engineering with special focus in energy and environment. He is an Associate Editor of the International Journal of Electrical Engineering and Education. He is also actively involved in organizing special issues and sessions at various international journals and conferences.

Affiliations and expertise
Senior Researcher, School of Electrical and Electronic Engineering, University of Sheffield, UK

DD

Demba Diallo

Demba Diallo received his M.Sc. and Ph.D. degrees both in Electrical and Computer Engineering, from the National Polytechnic Institute of Grenoble. After graduating, he worked as a research engineer at the Laboratoire d'Electrotechnique in Grenoble, France, on the development of electric drives and active filters, and later he joined Université de Picardie Jules Verne as an associate professor of electrical engineering. He is currently a full professor at Université Paris Saclay. He is member of the Research Group of Electrical Engineering Paris (GeePs). His area of research includes fault diagnosis and prognosis, advanced control techniques, and renewable-energy based microgrids. He is an IEEE senior member (SM05). He is currently Associate editor of IEEE Transactions on Cybernetics. He is also the elected Director of the National Research Group on Electrical Engineering and Societal Issues (CNRS GDR SEEDS).
Affiliations and expertise
Professor, Université Paris Saclay, France