This is the code for the paper entitled "Joint Instantaneous Amplitude-Frequency Analysis of Vibration Signals for Vibration-Based Condition Monitoring of Rolling Bearings".
Authors: Sulaiman Aburakhia, Ismail Hamieh, and Abdallah Shami.
Organization: The Optimized Computing and Communications (OC2) Lab, ECE Department, Western University, London, Canada.

The paper introduces a low-complexity method for Vibration-Based Condition Monitoring (VBCM) of rolling bearings based on joint analysis of Instantaneous Amplitude (IA) and Instantaneous Frequency (IF) information of the generated vibration signal. Specifically, the proposed method employs the Hilbert Transfrom (HT) to obtain instantaneous information and then jointly analyze IA and IF, facilitating new three joint instantaneous amplitude-frequency representations of the vibration signal:

1. Instantaneous Amplitude-Frequency Mapping (IAFM)
2. Instantaneous Amplitude-Frequency Correlation (IAFC)
3. Instantaneous Energy-Frequency Distribution (IEFD)

Accordingly, six new fault-sensitive features are engineered from these representations. Besides the small number of the extracted features, the proposed method uses very short durations of the generated vibration signal for condition monitoring, thereby relaxing memory requirements and reducing monitoring delay.

Dataset:

the Paderborn University (PU) bearing dataset

Pre-print is available here.

Contact Information

For all inquiries or collaboration opportunities please contact:

Email : [email protected] or [email protected]
Github: SulAburakhia or Western OC2 Lab
Google Scholar: OC2 Lab; Sulaiman Aburakhia