Alternatives and similar repositories for Turbofan-Engine-Degradation

Users that are interested in Turbofan-Engine-Degradation are comparing it to the libraries listed below

• alteryx / predict-remaining-useful-life
  Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
  ☆234Updated 2 years ago
• Azure / lstms_for_predictive_maintenance
  LSTMS for Predictive Maintenance
  ☆340Updated 8 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆226Updated 4 years ago
• aqibsaeed / Estimation-of-Remaining-Useful-Life-using-CNN
  Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
  ☆139Updated 6 years ago
• nagdevAmruthnath / Predictive-Maintenance
  A notebook tutorial series for performing predictive maintenance using machine learning
  ☆153Updated 5 years ago
• jancervenka / turbofan_failure
  Aircraft engine failure prediction model
  ☆28Updated 2 years ago
• Samimust / predictive-maintenance
  Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
  ☆279Updated last year
• Markus-Go / rapidminer-anomalydetection
  RapidMiner Extension for Anomaly Detection
  ☆95Updated 6 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 7 years ago
• LuisM78 / Appliances-energy-prediction-data
  Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-ener…
  ☆94Updated 8 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆107Updated 5 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆147Updated 4 years ago
• dacatay / time-series-analysis
  Presentation for time series analysis
  ☆45Updated 7 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆184Updated 8 years ago
• sunilmallya / timeseries
  Deep Learning repo for timeseries and sequence data
  ☆100Updated 7 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆346Updated 9 years ago
• cran2367 / understanding-lstm-autoencoder
  Understanding an LSTM Autoencoder
  ☆38Updated 6 years ago
• nasa / PrognosticsModelLibrary
  ☆93Updated 5 years ago
• kpeters / exploring-nasas-turbofan-dataset
  collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
  ☆137Updated 4 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆188Updated 6 years ago
• umbertogriffo / Predictive-Maintenance-using-LSTM
  Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
  ☆705Updated last year
• Azure / PySpark-Predictive-Maintenance
  Predictive Maintenance using Pyspark
  ☆129Updated 6 years ago
• mjain72 / Condition-monitoring-of-hydraulic-systems-using-xgboost-modeling
  We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification
  ☆12Updated 7 years ago
• carlosqsilva / pyspc
  Statistical Process Control Charts Library for Humans
  ☆229Updated 2 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆216Updated 3 months ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆129Updated 5 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years 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…
  ☆151Updated 3 years ago
• microsoft / TagAnomaly
  Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
  ☆332Updated last year