The Predictive Maintenance Game (🛠️ WIP)

A personal project experimenting with predictive maintenance and real-time monitoring

Prognostics on NASA's Aircraft Engine Degradation

A predictive maintenance system for CNC machines using machine learning algorithms to forecast failures and optimize maintenance schedules.

A curated collection of papers, articles and datasets to keep modern industrial engineer up-to-date on new strategies for anticipating failures using sensors historical data.

Predictive maintenance can help companies minimize downtime, reduce repair costs, and improve operational efficiency. Developing a web application for predictive maintenance can provide users with real-time insights into equipment performance, enabling proactive maintenance, and reducing unplanned downtime.

Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

A fast solver for Markov Decision Processes

Reverse engineering EGT Margin for P&W engines (ECM)

Digital twin for reliability and predictive maintenance

Proof of concept of a fully automated Industrial IoT network using COAP and Machine Learning

Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"

dsPIC33CK Predictive Maintenance System for Industrial Motors

Enhancing Airline Performance Analysis for the Department of Transport

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.

[IEEEHTC2023] Repo to analyse and predict cutting tool wear using acoustic signals.

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.

This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.