Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
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Updated
Feb 12, 2024 - Python
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
time-series prediction for predictive maintenance
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
A framework to implement Machine Learning methods for time series data.
ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
Multi-Objective Optimization of ELM for RUL Prediction
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.
Machine Learning end-to-end project for explainable predictive maintenance
Reliability Analyzer provides a easy to use app for system reliability, availability, maintainability and related analyses that allows you to model the most complex systems and processes using reliability block diagrams (RBDs), fault tree analysis (FTA), or Markov diagrams
A fast solver for Markov Decision Processes
Sample code as a template for developing custom machine learning algorithms to be used with SAP Predictive Maintenance and Service.
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Industrial Predictive Maintenance using Sony Spresense and edgeML
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