rupambhattacharya / Predictive-MaintenanceLinks
Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets
☆29Updated 7 years ago
Alternatives and similar repositories for Predictive-Maintenance
Users that are interested in Predictive-Maintenance are comparing it to the libraries listed below
Sorting:
- A notebook tutorial series for performing predictive maintenance using machine learning☆153Updated 5 years ago
- time-series prediction for predictive maintenance☆53Updated 6 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆141Updated 4 years ago
- Predict remaining useful life of a component based on historical sensor observations using automated feature engineering☆234Updated 2 years ago
- Predictive Maintenance System for Digital Factory Automation☆44Updated 6 years ago
- ☆24Updated 4 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆278Updated last year
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆128Updated 7 years ago
- LSTMS for Predictive Maintenance☆340Updated 8 years ago
- Finding lifetime a bearing using IOT data and Remaining Utility Life (RUL)☆17Updated 7 years ago
- 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
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated last year
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆74Updated 4 years ago
- Convolutional Neural Network based regression approach for estimating machinery's remaining useful life☆139Updated 6 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- Demonstration of MapR for Industrial IoT☆115Updated 3 years ago
- PCA and DBSCAN based anomaly and outlier detection method for time series data.☆48Updated 7 years ago
- The objective of the project is to classify steel plates fault into 7 different types. The end goal is to train several machine Learning …☆16Updated 6 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆243Updated 5 years ago
- Deep Learning applied to predictive maintenance use cases☆39Updated 5 years ago
- A regression based approach to estimate the Remaining Useful Life (RUL) of a paper mill for a web break prediction problem.☆13Updated 3 years ago
- Data sets on prognosis and health management（PHM相关数据集）☆20Updated 5 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated 2 years ago
- ☆12Updated 3 years ago
- Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like …☆114Updated 2 months ago
- Aircraft engine failure prediction model☆28Updated 2 years ago
- This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Sup…☆26Updated 3 years ago
- A deep learning framework for fault diagnositcs with PyTorch☆50Updated 5 years ago
- Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comp…☆14Updated 4 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆68Updated 3 years ago