Demodulation Analysis of Bearing Simulation Signals

Resource Overview

Demodulation analysis of bearing simulation signals based on the bearing model from Dr. Bi Guo's dissertation (Equations 3-14 and 3-29), with implementation insights using signal processing algorithms

Detailed Documentation

Demodulation analysis of bearing simulation signals using the bearing model referenced from Dr. Bi Guo's dissertation (Equations 3-14 and 3-29).

In this study, we conduct demodulation analysis on bearing simulation signals based on the bearing model proposed by Dr. Bi Guo in Equations (3-14) and (3-29) of his dissertation. The primary objective is to gain deeper insights into bearing operational mechanisms and evaluate the practical applicability of the bearing model. The demodulation analysis process typically involves implementing signal processing algorithms such as envelope detection using Hilbert transform or high-frequency resonance techniques to extract modulated characteristic frequencies from raw vibration signals. Through demodulation analysis of bearing simulation signals, we can obtain critical information about bearing condition and performance, which contributes to improved bearing design and maintenance strategies. It's important to note that our research builds upon Dr. Bi Guo's foundational work, conducting further investigation and analysis of the proposed bearing model through computational implementation and simulation validation.