SulAburakhia
Postdoctoral Fellow, Optimized Computing and Communications (OC2) Lab, Western University, Canada.
Western University
Pinned Repositories
Joint-Instantaneous-Amplitude-Frequency-Analysis-for-Vibration-Based-Condition-Monitoring
SB-PdM-a-tool-for-predictive-maintenance-of-rolling-bearings-based-on-limited-labeled-data
SB-PdM is a non-machine learning code to perform Predictive Maintenance (PdM) of rolling bearings without the need to train a classifier. In SM-PdM, the classification task is performed by applying a similarity measure between test sample and class-reference labeled samples in the feature space.
Signal-Processing-for-Machine-Learning
This repository serves as a platform for posting a diverse collection of Python codes for signal processing, facilitating various operations within a typical signal processing pipeline (pre-processing, processing, and application).
Similarity-Based-Predictive-Maintenance-Framework-for-Rotating-Machinery
Python code “Jupyter notebooks” for the paper entitled " Similarity-Based Predictive Maintenance Framework for Rotating Machinery" has been presented in the Fifth International Conference on Communications, Signal Processing, and their Applications (ICCSPA’22), Cairo, Egypt, 27-29 December 2022. Techniques used: statistical analysis, FFT, and STFT.
Vibration-Based-Fault-Diagnosis-with-Low-Delay
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
SulAburakhia's Repositories
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