Topic: predictive-maintenance Goto Github
Some thing interesting about predictive-maintenance
Some thing interesting about predictive-maintenance
predictive-maintenance,This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
User: abiodun-ayodeji
predictive-maintenance,ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform
Organization: arakat-community
Home Page: https://arakat-community.github.io/arakat/
predictive-maintenance,In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
User: archd3sai
predictive-maintenance,Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
User: ashishpatel26
predictive-maintenance,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.
Organization: aws-samples
predictive-maintenance,Predictive Maintenance for Vehicle Fleets
Organization: awslabs
predictive-maintenance,Time-series analysis using the Matrix profile in Julia
User: baggepinnen
predictive-maintenance,Curated list of predictive maintenance research and repositories.
User: caglarmert
predictive-maintenance,Papers and datasets for Vibration Analysis
User: charlie5dh
predictive-maintenance,Remaining Useful Life (RUL) prediction for Turbofan Engines
User: delta1epsilon
predictive-maintenance,False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Organization: dependable-cps
predictive-maintenance,remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM
User: ericlrf
predictive-maintenance,Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
User: faisal-irzal
predictive-maintenance,DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
User: firmai
Home Page: https://ssrn.com/abstract=3619626
predictive-maintenance,Deep Learning applied to predictive maintenance use cases
User: france1
predictive-maintenance,Power Tools for AI Engineers With Deadlines
Organization: h1st-ai
Home Page: https://h1st.ai
predictive-maintenance,Predictive Maintenance avoids the drawbacks of Preventive Maintenance (under utilization of a part's life) and Reactive Maintenance (unscheduled downtime). Based on the health of an equipment in the past, future point of failure can be predicted in Predictive Maintenance. Thus, replacement of parts can be scheduled just before the actual failure.
User: harshgupta-ds
predictive-maintenance,Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.
User: hrolive
predictive-maintenance,Predictive Maintenance System for Digital Factory Automation
User: imrahulr
predictive-maintenance,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.
User: jiaxiang-cheng
predictive-maintenance,Industry Machine Learning Hackfest Material
User: jomit
predictive-maintenance,Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibration signal as healthy or faulty and on the other hand, given a signal predicting time to failure based on early anomaly detection.
User: judithspd
predictive-maintenance,Tidy multi-material machine tool wear dataset for prognostics and health monitoring.
Organization: katulu-io
predictive-maintenance,Datasets for Predictive Maintenance
User: kokikwbt
predictive-maintenance,collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
User: kpeters
predictive-maintenance,This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
User: lestercardoz11
predictive-maintenance,time-series prediction for predictive maintenance
User: limingwu8
predictive-maintenance,This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.
User: littlehurt
predictive-maintenance,ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
User: longxingtan
predictive-maintenance,Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
User: lucadellalib
predictive-maintenance,CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
User: lucianolorenti
Home Page: https://lucianolorenti.github.io/ceruleo/
predictive-maintenance,A framework to implement Machine Learning methods for time series data.
User: maechler
predictive-maintenance,Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'
User: ml-pse
Home Page: https://mlforpse.com/books/
predictive-maintenance,Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
User: mohyunho
predictive-maintenance,Multi-Objective Optimization of ELM for RUL Prediction
User: mohyunho
predictive-maintenance,N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
User: mohyunho
predictive-maintenance,Evolutionary Neural Architecture Search on Transformers for RUL Prediction
User: mohyunho
predictive-maintenance,Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org
User: nicolasfguillaume
predictive-maintenance,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.
Organization: sap-samples
Home Page: https://blogs.sap.com/2022/05/19/building-intelligent-scenarios-and-sustainability-on-sap-btp/
predictive-maintenance,Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicing and optimal performance.
User: somjit101
predictive-maintenance,🖥 Approaching predictive maintenance and engine failure detection, based on open datasets.
User: tayciryahmed
predictive-maintenance,In this project, high dimensional noisy data collected from thousands of trucks during the course of 4 years was compressed using Artificial Neural Networks (ANN). This compressed meaningful information was used for performing predictive maintenance on turbochargers. Our novel deep learning ANN architecture, compressed vehicle data by over 87% while still improving fault forecasting prediction by 23% and even with extreme data size reduction of 99.7% we still see a significant performance improvement of 6.31%.
User: thehapyone
predictive-maintenance,Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
User: tslu1s
predictive-maintenance,Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
User: umbertogriffo
predictive-maintenance,Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.
User: uslumt
predictive-maintenance,Python code “Jupyter notebooks” for the paper entitled " Similarity-Based Predictive Maintenance Framework for Rotating Machinery" has been presented in the Fifth International Conference on Communications, Signal Processing, and their Applications (ICCSPA’22), Cairo, Egypt, 27-29 December 2022. Techniques used: statistical analysis, FFT, and STFT.
Organization: western-oc2-lab
predictive-maintenance,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.
Organization: western-oc2-lab
predictive-maintenance,ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
User: xxl4tomxu98
predictive-maintenance,This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
User: yi-chen-lin2019
predictive-maintenance,The second phase of the AR project for predictive maintenance is to combine IoT and AR to get a real-time visualization of the status of machines in the production plants.
User: yudhisteer
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