You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.
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.
Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.
Chemical Engineering final-year project simulating a copper solvent extraction process with control valve faults using PCA and statistical classification to identify when the process enters a fault state
Fault Bearing Classification Analysis dashboard to explore, diagnose and highlight potential factors to predict the fault class based on bearing statistical manufacturing data.
This problem statement involved predicting fault impacts on Radio Access Networks KPIs and prioritizing issues that affect data rates—a critical step toward enhancing network performance and preventing customer churn in the telecommunication space.