Study of the IMF Selection Methods using Kurtosis Parameter for Bearing Fault Diagnosis

Fault diagnosis in induction machines is an essential phase to maintain good system health. Selecting effective and sensitive Intrinsic Mode Functions (IMFs) is one of the important steps for rolling bearing fault diagnosis. Kurtosis is the most commonly used parameter for the selection of these IMFs. Generally, two selection methods for IMFs based on the kurtosis criterion are used in the fault d...

• bearing fault diagnosis
• kurtosis
• intrinsic mode functions
• empirical mode decomposition
• signal denoising
• vibration signal analysis

• Machine Fault Diagnosis Techniques
• Gear and Bearing Dynamics Analysis
• Fault Detection and Control Systems
• bearing fault diagnosis
• kurtosis
• intrinsic mode functions
• empirical mode decomposition
• signal denoising
• vibration signal analysis
• Control and Systems Engineering
• Mechanical Engineering
• Engineering