Alternatives and similar repositories for predictive-maintenance

Users that are interested in predictive-maintenance are comparing it to the libraries listed below

• lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0
  This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
  ☆138Updated 4 years ago
• kpeters / exploring-nasas-turbofan-dataset
  collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
  ☆137Updated 4 years ago
• biswajitsahoo1111 / rul_codes_open
  This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
  ☆199Updated 9 months ago
• archd3sai / Predictive-Maintenance-of-Aircraft-Engine
  In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…
  ☆149Updated 3 years ago
• xxl4tomxu98 / NASA-Jet-Engine-Maintenance
  ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
  ☆31Updated last year
• tvhahn / ml-tool-wear
  Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …
  ☆73Updated 4 years ago
• Charlie5DH / PredictiveMaintenance-and-Vibration-Resources
  Papers and datasets for Vibration Analysis
  ☆185Updated 8 months ago
• ML-PSE / Machine_Learning_for_PM_and_PdM
  Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'
  ☆19Updated last year
• abiodun-ayodeji / Predictive-Maintenance
  This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…
  ☆30Updated last year
• nicolasj92 / industrial-ml-datasets
  A curated list of datasets, publically available for machine learning research in the area of manufacturing
  ☆178Updated 3 years ago
• tvhahn / weibull-knowledge-informed-ml
  Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
  ☆158Updated 2 years ago
• DatrikIntelligence / Stacked-DCNN-RUL-PHM21
  Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
  ☆83Updated 2 years ago
• mohyunho / N-CMAPSS_DL
  N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
  ☆96Updated 2 years ago
• nagdevAmruthnath / Predictive-Maintenance
  A notebook tutorial series for performing predictive maintenance using machine learning
  ☆151Updated 5 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆94Updated 9 months ago
• vincrichard / LSTM-AutoEncoder-Unsupervised-Anomaly-Detection
  University Project for Anomaly Detection on Time Series data
  ☆112Updated last year
• tilman151 / rul-datasets
  A collection of datasets for RUL estimation as Lightning Data Modules.
  ☆48Updated last year
• delta1epsilon / turbofan-remaining-life-prediction
  Remaining Useful Life (RUL) prediction for Turbofan Engines
  ☆27Updated 3 years ago
• Yi-Chen-Lin2019 / Predictive-maintenance-with-machine-learning
  This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
  ☆69Updated 3 years ago
• Western-OC2-Lab / Vibration-Based-Fault-Diagnosis-with-Low-Delay
  Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…
  ☆88Updated last year
• France1 / predictive-maintenance-pytorch
  Deep Learning applied to predictive maintenance use cases
  ☆37Updated 5 years ago
• iameminmammadov / dash-predictive-maintenance
  Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…
  ☆51Updated 3 years ago
• judithspd / predictive-maintenance
  Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…
  ☆19Updated 4 years ago
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• Isaacburmingham / multivariate-time-series-anomaly-detection
  Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…
  ☆21Updated 3 years ago
• jonathanwvd / awesome-industrial-datasets
  A curated collection of public industrial datasets.
  ☆227Updated last month
• sltzgs / KernelCPD_WindSCADA
  Code and supplementary material complementing the WES-publication: "Change-point detection in wind turbine SCADA data for robust conditio…
  ☆19Updated 4 years ago
• mohan696matlab / Unsupervised-_Fault_Detection-Industrial_Process
  This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…
  ☆29Updated 2 years ago
• SmartManuAD / Smart-Manufacturing-AD
  Repository linked to "Anomaly detection in Smart-manufacturing era: A review"
  ☆17Updated 2 years ago
• zhmou / Turbofan-engine-RUL-prediction
  RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
  ☆105Updated 2 years ago