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.
Power Tools for AI Engineers With Deadlines
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
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.
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Predictive Maintenance for Vehicle Fleets
Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
Papers and datasets for Vibration Analysis
Datasets for Predictive Maintenance
time-series prediction for predictive maintenance
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
Digital twin for reliability and predictive maintenance
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.
ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
🖥 Approaching predictive maintenance and engine failure detection, based on open datasets.
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