An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault...

Area of Science:

• Mechanical Engineering
• Vibration Analysis
• Fault Diagnosis

Background:

• Complex bearing faults often exhibit coupled vibration signatures, complicating accurate diagnosis.
• Traditional methods struggle with feature separation in high-noise and compound fault scenarios.

Purpose of the Study:

• To develop a novel method for separating coupled fault features in complex bearing systems.
• To enhance the accuracy and reliability of bearing fault diagnosis under challenging conditions.

Main Methods:

• An improved envelope spectrum (IES) was created by integrating resonance bands within the cyclic spectral coherence function.
• The IES-CYCBD method was applied to separate fault-specific characteristic frequencies.
• Simulations and experimental validation were conducted using compound bearing faults.

Main Results:

• The IES-CYCBD method successfully located resonant bands corresponding to different fault types.
• Accurate separation of inner and outer ring fault characteristics was achieved in compound fault experiments.
• The method demonstrated robust performance in accurately diagnosing faults under high noise levels.

Conclusions:

• The proposed IES-CYCBD method offers a powerful tool for complex fault separation and diagnosis in bearings.
• This technique significantly improves the ability to identify individual fault signatures within coupled vibration signals.
• The findings support the practical application of IES-CYCBD for enhanced machinery health monitoring.