Ball Bearing Diagnosis via Spectral Analysis of Short Vibration Records Using the Maximum Entropy Method
Abstract
ABSTRACT To enable efficient vibration diagnosis of rotating machinery in industry settings, we investigate a spectral analysis approach for accurately estimating the envelope spectrum from short‐duration vibration signals, thereby reducing data traffic. We propose the use of the maximum entropy method as the spectral estimation algorithm for short‐record vibration data and demonstrate that it achieves significantly higher accuracy than the commonly used fast Fourier transform. Through analysis of both simulated and measured vibration data, we show that this approach can reduce the data required for vibration diagnosis to approximately one‐tenth of that required by conventional methods.
Fields of Study & Subjects
Machine Fault Diagnosis Techniques
Gear and Bearing Dynamics Analysis
Vibration and Dynamic Analysis
Publication details
- Journal / source
- Electrical Engineering in Japan
- Volume
- 219
- Issue
- 1
- Pages
- 122–130
- Publication date
- 12 January 2026
- Language
- EN