Fault Diagnosis of Induction Motors 1st Edition by Jawad Faiz, Vahid Ghorbanian, Gojko Joksimović ISBN 1785613286 9781785613289
Original price was: $50.00.$35.00Current price is: $35.00.
Fault Diagnosis of Induction Motors 1st Edition by Jawad Faiz, Vahid Ghorbanian, Gojko Joksimović – Ebook PDF Instant Download/Delivery: 1785613286 ,9781785613289
Full download Fault Diagnosis of Induction Motors 1st Edition after payment
Product details:
ISBN 10: 1785613286
ISBN 13: 9781785613289
Author: Jawad Faiz, Vahid Ghorbanian, Gojko Joksimović
Induction motors are still among the most reliable and important electrical machines. The wide range of their use involves various electrical, magnetic, thermal and mechanical stresses which results in the need for fault diagnosis as part of the maintenance. A yet unreached goal is the development of a generalized, practical approach enabling industry to accurately diagnose different potential induction motor faults.
Fault Diagnosis of Induction Motors aims to fill this gap by focusing on theoretical, experimental and computer aided processes for fault diagnosis, building a comprehensive, structural approach allowing users to select the proper diagnosis strategy. Topics covered include condition monitoring and fault diagnosis of induction motors; the theory of line-start and inverter-fed induction motors; induction motor faults basics, developments and laboratory-scale implementation; magneto-motive force waves in healthy three-phase induction motors; multiple coupled circuit model of induction motors; finite element implementation of induction motors in healthy and faulty conditions; signal processing techniques utilized in fault diagnosis procedures; diagnosis of broken bars fault in induction motors; diagnosis of eccentricity fault in induction motors; and diagnosis of inter-turn short circuit fault in induction motors.
This work is essential reading for researchers and technicians involved with motor-drive applications and their related maintenance procedures or dealing with applications of signal processing techniques.
Fault Diagnosis of Induction Motors 1st Edition Table of contents:
Chapter 1: Introduction to Induction Motors
- Principles of Operation of Induction Motors
- Types of Induction Motors
- Importance of Fault Diagnosis in Induction Motors
- Challenges in Monitoring and Diagnosing Motor Health
Chapter 2: Faults in Induction Motors
- Types of Faults in Induction Motors
- Stator Faults
- Rotor Faults
- Bearing Faults
- Electrical and Mechanical Faults
- Symptoms and Causes of Motor Failures
- Effects of Faults on Motor Performance and Efficiency
Chapter 3: Fault Detection Techniques
- Traditional Methods of Fault Diagnosis
- Vibration Analysis
- Thermal Imaging
- Acoustic Emission Monitoring
- Advanced Diagnostic Techniques
- Motor Current Signature Analysis (MCSA)
- Vibration Signature Analysis
- Electrostatic and Electromagnetic Methods
- Selection of Fault Detection Methods
Chapter 4: Monitoring Tools and Techniques
- Instrumentation for Fault Detection
- Condition Monitoring Systems (CMS)
- Real-time Data Acquisition and Analysis
- The Role of SCADA Systems in Fault Diagnosis
- Integration of Sensors for Effective Monitoring
Chapter 5: Motor Current Signature Analysis (MCSA)
- Principles of MCSA
- Data Collection and Signal Processing
- Detection of Rotor and Stator Faults Using MCSA
- Case Studies of MCSA in Fault Diagnosis
Chapter 6: Vibration-Based Fault Diagnosis
- Understanding Vibration Patterns in Motors
- Techniques for Vibration Analysis
- Fast Fourier Transform (FFT)
- Time-Frequency Analysis
- Identification of Faults Using Vibration Signals
- Case Studies in Vibration-Based Fault Detection
Chapter 7: Thermal and Acoustic Emission Methods
- Principles of Thermal Imaging in Fault Diagnosis
- Acoustic Emission Techniques for Monitoring Motor Health
- Application of Thermal and Acoustic Methods for Fault Detection
Chapter 8: Advanced Signal Processing Techniques
- Overview of Signal Processing in Fault Diagnosis
- Wavelet Transform and Its Application in Motor Diagnostics
- Artificial Neural Networks (ANNs) and Machine Learning Approaches
- Use of Data Mining Techniques for Fault Prediction
Chapter 9: Fault Diagnosis Using Artificial Intelligence
- Introduction to AI Techniques in Motor Fault Diagnosis
- Supervised and Unsupervised Learning Algorithms
- Implementing Neural Networks for Fault Detection
- Real-World Applications of AI in Induction Motor Diagnostics
Chapter 10: Fault Classification and Prognostics
- Classification of Faults Based on Signal Analysis
- Prognostics: Predicting Motor Failures Before They Occur
- Reliability and Remaining Useful Life (RUL) Estimation
- Case Studies on Fault Prognosis
Chapter 11: Preventive Maintenance and Fault Management
- Importance of Preventive Maintenance for Motor Longevity
- Maintenance Strategies Based on Fault Diagnosis
- Designing Effective Maintenance Schedules
- Role of Condition-Based Monitoring in Reducing Downtime
Chapter 12: Case Studies and Applications
- Real-World Examples of Fault Diagnosis in Industrial Motors
- Case Study 1: Rotor Fault Detection in a Large-Scale Manufacturing Plant
- Case Study 2: Bearing Fault Monitoring in an HVAC System
- Lessons Learned from Various Applications
Chapter 13: Future Trends in Fault Diagnosis of Induction Motors
- Emerging Technologies in Motor Fault Detection
- IoT and Smart Sensors for Real-Time Fault Monitoring
- The Role of Industry 4.0 in Fault Diagnosis and Maintenance
- Future Challenges and Opportunities
Appendices
- A: Glossary of Terms
- B: List of Tools and Software for Fault Diagnosis
- C: Key Standards in Motor Diagnostics
Bibliography
- Comprehensive List of References and Further Reading
Index
People also search for Fault Diagnosis of Induction Motors 1st Edition:
condition monitoring and fault diagnosis of induction motors a review
starter motor fault diagnosis
causes of induction motor failure
how to tell if a motor is induction
Tags:
Jawad Faiz,Vahid Ghorbanian,Gojko Joksimović,Fault Diagnosis,Induction Motors