Topic: predictive-maintenance Goto Github

👇 Here are 151 public repositories matching this topic...

abiodun-ayodeji / 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 remaining-useful-life failure-prediction

arakat-community / arakat
predictive-maintenance,ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform
Organization: arakat-community
Home Page: https://arakat-community.github.io/arakat/
big-data-analytics business-intelligence cloud-native-applications data-pipelines distributed-systems docker docker-swarm predictive-maintenance

archd3sai / predictive-maintenance-of-aircraft-engine
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
rul-prediction predictive-maintenance regression classification lstm-neural-networks exponential-degradation similarity-based-model cnn-keras feature-importance

ashishpatel26 / predictive_maintenance_using_machine-learning_microsoft_casestudy
predictive-maintenance,Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
User: ashishpatel26
predictive maintenance predictive-maintenance machine learning microsoft-cortana cortana-intelligence-gallery case-study

aws-samples / amazon-sagemaker-predictive-maintenance-deployed-at-edge
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
machine-learning predictive-maintenance predictive-modeling workshop workshop-materials iot sagemaker greengrass sagemaker-neo sagemaker-deployment

awslabs / aws-fleet-predictive-maintenance
predictive-maintenance,Predictive Maintenance for Vehicle Fleets
Organization: awslabs
predictive maintenance vehicles fleets predictive-maintenance deep-learning sagemaker sagemaker-example aws-sagemaker automobile

baggepinnen / matrixprofile.jl
predictive-maintenance,Time-series analysis using the Matrix profile in Julia
User: baggepinnen
matrix-profile time-series time-series-analysis outlier-detection motif-discovery similarity-search signal-processing dsp anomaly-detection clustering

caglarmert / awesome-predictive-maintenance
predictive-maintenance,Curated list of predictive maintenance research and repositories.
User: caglarmert
anomaly-detection predictive-maintenance

charlie5dh / predictivemaintenance-and-vibration-resources
predictive-maintenance,Papers and datasets for Vibration Analysis
User: charlie5dh
dataset data-science kaggle machine-learning documentation vibration predictive-maintenance predictive-analysis

delta1epsilon / turbofan-remaining-life-prediction
predictive-maintenance,Remaining Useful Life (RUL) prediction for Turbofan Engines
User: delta1epsilon
prognostics rul-prediction nasa-data predictive-maintenance remaining-useful-life-prediction remaining-useful-life

dependable-cps / fdia-pdm
predictive-maintenance,False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Organization: dependable-cps
remaining-useful-life false-data-injection iot-sensors sensor-fusion lstm cnn gru deep-learning neural-network turbofan-engine

ericlrf / rul
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
remaining-useful-life remaining-life-estimation residual-useful-life survival-analysis degradation-models run-to-failure-models predictive-maintenance pdm prognostics-health-management phm

faisal-irzal / predictive_maintenance_ml
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
anomaly-detection pca autoencoder mahalanobis-distance predictive-maintenance condition-monitoring bearing-fault-diagnosis

firmai / datagene
predictive-maintenance,DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
User: firmai
Home Page: https://ssrn.com/abstract=3619626
data-structures data-transformations dataset-generation dataset-similarity decomposition distance-calculations distance-measures encoding finance model-checking predictive-maintenance similarity-measures similarity-score synthesizers synthetic-data synthetic-dataset-generation testing-framework transformation-recipes

france1 / predictive-maintenance-pytorch
predictive-maintenance,Deep Learning applied to predictive maintenance use cases
User: france1
multi-task lstm condition-monitoring pytorch classification sensors fault-types predictive-maintenance time-series-analysis attention-mechanism

h1st-ai / h1st
predictive-maintenance,Power Tools for AI Engineers With Deadlines
Organization: h1st-ai
Home Page: https://h1st.ai
data-science explainability home-automation time-series collaboration cybersecurity cold-start autonomous-vehicles automl avionics

harshagarwal2703 / pothole-project
predictive-maintenance,Road transport is the most widely used means of transportation around the world. With this high use of road transport, the safety of travellers’ becomes the prime concern for any governing authority. While some safety concerns arise from driver errors and environmental factors, most cases are a result of poor maintenance of these roads. Potholes, specifically, are one of the leading causes of road accidents throughout the world and need to be taken care of immediately, by the authorities. This paper presents a solution that makes use of civilians’ mobile sensors, along with image-based alternatives to detect potholes in real-time, using Machine Learning. The concerned authorities are then notified about the same through a web-based portal, to take the necessary action. The solution also incorporates pivoting existing complaints, location tagging and prioritization. Additionally, the solution provides a forecast of the likelihood of issues regarding potholes, constantly updating time series data of the locations.
User: harshagarwal2703
road-safety pothole-detection mobile-sensors computer-vision machine-learning complaint-redressal predictive-maintenance

harshgupta-ds / predictive-maintainence-using-data-analysis-and-time-series-forecasting
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
data-analysis machine-learning predictive-maintenance predictive-maintenance-iot python time-series

hrolive / applications-of-ai-for-predictive-maintenance
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
deep-learning keras lstm machine-learning numpy pandas predictive-maintenance python rapids time-series

imrahulr / pred-maintenance-siemens
predictive-maintenance,Predictive Maintenance System for Digital Factory Automation
User: imrahulr
Home Page: https://imrahulr.github.io/lstm/kalman%20filter/siemens%20makeit%20real%20hackathon/2018/01/12/predictive-maintenence.html
predictive-maintenance remaining-useful-life deep-learning lstm time-series-forecasting kalman-filtering autoencoder rotary-engine lightgbm xgboost

jiaxiang-cheng / pytorch-transformer-for-rul-prediction
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
transformer pytorch pytorch-implementation remaining-useful-life cmapss turbofan-engine prediction predictive-maintenance

jomit / amlworkshop
predictive-maintenance,Industry Machine Learning Hackfest Material
User: jomit
azure jupyter-notebooks machine-learning manufacturing predictive-maintenance python

jonathantsilva / si-cavitation
predictive-maintenance,🔬 Diagnostic system for hydraulic pump failures by means of electric current analysis and machine learning tools.
User: jonathantsilva
scientific-initiation machine-learning predictive-maintenance hydraulic-pumps diagnostic-system

judithspd / predictive-maintenance
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
anomaly-detection data-science machine-learning predictive-maintenance python spectral-analysis

katulu-io / uniwear-dataset
predictive-maintenance,Tidy multi-material machine tool wear dataset for prognostics and health monitoring.
Organization: katulu-io
industrial opendata predictive-maintenance prognostics tool-wear dataset machine-learning milling condition-monitoring

kokikwbt / predictive-maintenance
predictive-maintenance,Datasets for Predictive Maintenance
User: kokikwbt
ai-engineering industry-4 machine-learning predictive-maintenance remaining-useful-life anomaly condition-based-maintenance survival-analysis anomaly-detection time-series

kpeters / exploring-nasas-turbofan-dataset
predictive-maintenance,collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
User: kpeters
predictive-maintenance turbofan-engine nasa cmapss

lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0
predictive-maintenance,This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
User: lestercardoz11
machine-learning predictive-maintenance ball-bearing python jupyter-notebook random-forest artificial-neural-networks autoencoder lstm-autoencoder kmeans

limingwu8 / predictive-maintenance
predictive-maintenance,time-series prediction for predictive maintenance
User: limingwu8
predictive-maintenance lstm-model time-series-prediction health-index

littlehurt / predictive-maintenance-practice
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
python algorithm machine-learning xgboost classification regression predictive-maintenance

longxingtan / python-profeld
predictive-maintenance,ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
User: longxingtan
survival-analysis time-to-event weibull-distribution time-to-failure remaining-useful-life predictive-maintenance data-science machine-learning profeld tensorflow

lucadellalib / bdl-rul-svgd
predictive-maintenance,Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
User: lucadellalib
bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch

lucianolorenti / ceruleo
predictive-maintenance,CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
User: lucianolorenti
Home Page: https://lucianolorenti.github.io/ceruleo/
predictive-maintenance time-series remaining-useful-life remaining-useful-life-prediction

maechler / ml4iiot
predictive-maintenance,A framework to implement Machine Learning methods for time series data.
User: maechler
autoencoder predictive-maintenance keras dbscan mad moving-average docker ims-bearing-data-set fft

mohyunho / enas-pdm
predictive-maintenance,Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
User: mohyunho
evolutionary-algorithm lstm cnn-lstm neural-architecture-search remaining-useful-life cmapss rul-prediction rul c-mapss predictive-maintenance

mohyunho / moo_elm
predictive-maintenance,Multi-Objective Optimization of ELM for RUL Prediction
User: mohyunho
c-mapss deep-learning evolutionary-algorithms extreme-learning-machine machine-learning multi-objective-optimization n-cmapss predictive-maintenance prognostics remaining-useful-life-prediction rul-prediction turbofan-engine

mohyunho / n-cmapss_dl
predictive-maintenance,N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
User: mohyunho
cmapss n-cmapss predictive-maintenance remaining-useful-life-prediction remaining-useful-life turbofan-engine rul-prediction c-mapss deep-learning new-cmapss

mohyunho / nas_transformer
predictive-maintenance,Evolutionary Neural Architecture Search on Transformers for RUL Prediction
User: mohyunho
cmapss evolutionary-algorithms evolutionary-computation neural-architecture-search ngboost predictive-maintenance prognostics prognostics-health-management remaining-useful-life-prediction rul-prediction

nicolasfguillaume / strategic-business-analytics-with-r
predictive-maintenance,Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org
User: nicolasfguillaume
r strategic-business-analytics hr scoring hierarchical-clustering dplyr survival-analysis predictive-maintenance

sap-samples / btp-ai-sustainability-bootcamp
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/
sample sample-code sap-ai-core sap-ai-launchpad sap-analytics-cloud sac-planning deep-learning condition-monitoring computer-vision sustainability

somjit101 / predictive-maintenance-industrial-iot
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 decision-trees sensors iot failure-prediction eda feature-selection ipython-notebook csv-files python

tayciryahmed / predictive-maintenance
predictive-maintenance,🖥 Approaching predictive maintenance and engine failure detection, based on open datasets.
User: tayciryahmed
machine-learning predictive-maintenance ramp

tslu1s / atlantic
predictive-maintenance,Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
User: tslu1s
data-science machine-learning automl automl-pipeline feature-selection preprocessing-pipeline scikit-learn predictive-modeling predictive-maintenance data-preprocessing

umbertogriffo / predictive-maintenance-using-lstm
predictive-maintenance,Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
User: umbertogriffo
deep-learning deep-neural-networks deep-learning-algorithms prediction-model predictive-maintenance lstm lstm-neural-networks timeseries keras keras-tensorflow keras-neural-networks keras-models

uslumt / battery_soc_estimation
predictive-maintenance,Battery State Of Charge(SoC) Estimation Using Stochastic Methods & Machine Learning.
User: uslumt
battery machine-learning stochastic-processes predictive-maintenance

western-oc2-lab / vibration-based-fault-diagnosis-with-low-delay
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
fourier-transform industrial-automation industry-4 predictive-maintenance signal-decomposition signal-processing smart-manufacturing wavelet-analysis fault-detection fault-diagnosis

wilsven / bearing-anomaly-detection-using-machine-learning
predictive-maintenance,Showcase how machine learning can help operators monitor equipment conditions through correctly analyzing measurement data collected from many sensors.
User: wilsven
pca autoencoder anomaly-detection predictive-maintenance

xxl4tomxu98 / nasa-jet-engine-maintenance
predictive-maintenance,ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
User: xxl4tomxu98
fault-detection-classification predictive-maintenance remaining-useful-life-prediction predictive-logistics condition-based-maintenance prognostics-health-management realtime-predictive-analytics anomaly-detection fault-detection embeded-systems

yi-chen-lin2019 / predictive-maintenance-with-machine-learning
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
machine-learning predictive-maintenance python automated-machine-learning anomaly-detection remaining-useful-life failure-detection industry-4 ball-bearing battery

yudhisteer / augmented-reality-and-iot-for-machines-monitoring
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
iot sensor augmented-reality predictive-maintenance internet-of-things data analytics real-time dashboard