JavaScript implementation of SWIM membership protocol

(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

Anomaly detection and failure prognosis applied to industrial machines

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

PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"

This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for experiment and learning purposes.

remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM

Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicin…

A neural network approach for predicting imminent failures in a smart power grid

Machine Learning to predict device failure

Final Year Project that is to be completed as part of the fulfillment of Computer Science Degree in NTU

Web app using the Poisson distribution to predict the number of machine failures.

Repository for Machine learning's semester project - Machine failure and failure type prediction using neural network.

🎓 Cheat tools for students

Time-Series Analysis for Complex Systems

Predicting failure of mechanical machines based of various sensor measurements and machine features/characteristics.

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.