HarshGupta-DS / Predictive-Maintainence-using-Data-Analysis-and-Time-Series-Forecasting
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…
☆12Updated 2 years ago
Alternatives and similar repositories for Predictive-Maintainence-using-Data-Analysis-and-Time-Series-Forecasting:
Users that are interested in Predictive-Maintainence-using-Data-Analysis-and-Time-Series-Forecasting are comparing it to the libraries listed below
- Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualizati…☆22Updated 2 years ago
- The project is a machine predictive maintenance application that uses machine learning (Random Forest) to classify whether a machine wil…☆13Updated last year
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆55Updated 2 years ago
- The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various cla…☆15Updated 3 years ago
- Deep Learning applied to predictive maintenance use cases☆34Updated 4 years ago
- Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the re…☆44Updated last week
- Developed at the IEEE CS SPIT Aeravat 1.0 AI Hackathon☆10Updated 10 months ago
- ☆18Updated 3 years ago
- time-series prediction for predictive maintenance☆49Updated 5 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆11Updated 9 months ago
- This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.☆14Updated 4 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 3 months ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated last year
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆23Updated 3 months ago
- ☆15Updated 6 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆43Updated 2 years ago
- ☆12Updated 3 years ago
- “Food Demand Forecasting” - A Machine Learning Hackathon Dataset released by an American professional services firm, Genpact.☆3Updated 5 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Updated 4 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆11Updated 3 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆27Updated 8 months ago
- This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and…☆24Updated last year
- In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees b…☆15Updated 5 years ago
- ☆15Updated 3 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 2 years ago
- Anomaly detection and failure prognosis applied to industrial machines☆27Updated 5 years ago
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆16Updated 3 years ago
- This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for exper…☆22Updated 2 years ago
- The following is a machine learning project to classify induction motor fault modes.☆33Updated 3 years ago