Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

Fault Detection Diagnostics (FDD) for HVAC datasets

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Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.

Gearbox Fault Detection

FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids

Python Based Wireless Sensor Network Simulator.

Defense of adversarial attacks on FDD models. fdd-defense is a python library with adversarial attacks on Fault Detection and Diagnostic (FDD) models and defense methods against attacks.

🖨️ Real-time Fault Detection in FDM 3D Printers Using Computer Vision

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

Python code for abnormal detection using Support Vector Data Description (SVDD)

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.

FDD (Fault detection and diagnostics) is very important for APC (Advance Process Control) implementation. KNN (K-Nearest number) + NN(Neural Network) a novel approach is used for analysis of 17 different faults. Results are significant (10% higher) compared to available literatures.

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.

Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'

Machine Learning Engineering Spring 2024 Project

Framework for peer-to-peer heartbeats

Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.