kokikwbt / predictive-maintenance
Datasets for Predictive Maintenance
☆106Updated last year
Alternatives and similar repositories for predictive-maintenance:
Users that are interested in predictive-maintenance are comparing it to the libraries listed below
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆128Updated 3 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆176Updated 2 weeks ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆121Updated 3 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆77Updated last year
- University Project for Anomaly Detection on Time Series data☆77Updated 6 months ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆141Updated 2 years ago
- Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…☆19Updated 2 years ago
- Papers and datasets for Vibration Analysis☆132Updated 9 months ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆146Updated last year
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆29Updated last year
- A collection of datasets for RUL estimation as Lightning Data Modules.☆41Updated 7 months ago
- SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.☆339Updated 5 months ago
- This repository contains the time series segmentation benchmark (TSSB).☆62Updated 6 months ago
- Evaluation Tool for Anomaly Detection Algorithms on Time Series☆113Updated last month
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆129Updated 3 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆88Updated 2 weeks ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆198Updated 4 years ago
- Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"☆75Updated 9 months ago
- A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (publish…☆95Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆141Updated 9 months ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆242Updated 3 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆54Updated 2 years ago
- Time series anomaly detection algorithm implementations for TimeEval (Docker-based)☆137Updated 3 months ago
- data set for process monitoring on CNC machines☆86Updated 7 months ago
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆109Updated 4 years ago
- Package for Time Series Forecasting and Anomaly Detection Problems.☆49Updated 7 months ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆65Updated 3 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆143Updated 4 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆43Updated 2 years ago