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Induction motor broken rotor bar fault detection techniques based on fault signature analysis–a review
The induction motor is the most popular motor in energy conversion and industrial drive
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …
systems. This popularity is due to its robustness, low cost, and easy maintenance. Electrical …
[HTML][HTML] Broken rotor bar fault diagnosis techniques based on motor current signature analysis for induction motor—A review
The most often used motor in commercial drives is the induction motor. While the induction
motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses …
motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses …
[BOG][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics
This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …
anticipation of their failures: choice and location of sensors, data acquisition and processing …
Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform
Due to aging structures, deterioration is becoming an essential issue in the engineering and
facility management industry. Especially for nuclear power plants, the deterioration of …
facility management industry. Especially for nuclear power plants, the deterioration of …
An efficient Hilbert–Huang transform-based bearing faults detection in induction machines
This paper focuses on rolling elements bearing fault detection in induction machines based
on stator currents analysis. Specifically, it proposes to process the stator currents using the …
on stator currents analysis. Specifically, it proposes to process the stator currents using the …
Induction machine faults detection using stator current parametric spectral estimation
Current spectrum analysis is a proven technique for fault diagnosis in electrical machines.
Current spectral estimation is usually performed using classical techniques such as …
Current spectral estimation is usually performed using classical techniques such as …
Current frequency spectral subtraction and its contribution to induction machines' bearings condition monitoring
Induction machines are widely used in industrial applications. Safety, reliability, efficiency,
and performance are major concerns that direct the research activities in the field of …
and performance are major concerns that direct the research activities in the field of …
Condition-based maintenance methods for marine renewable energy
With an increasing requirement to lower the costs of delivered renewable energy, the
maintenance costs for marine renewable energy (MRE), due to accessibility issues, are an …
maintenance costs for marine renewable energy (MRE), due to accessibility issues, are an …
[HTML][HTML] Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach
Abstract Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment
with limited accessibility and maintainability. Not only failures are more likely to occur than in …
with limited accessibility and maintainability. Not only failures are more likely to occur than in …
Induction machine fault diagnosis with quadratic time–frequency distributions: State of the art
Production processes in industrial facilities are essentially a dynamic activity, but traditional
time-domain analysis (TDA) and frequency-domain analysis (FDA) assume stationary …
time-domain analysis (TDA) and frequency-domain analysis (FDA) assume stationary …