RudraChatterjee / Machine-Failure_Prediction_EnsembleMethods_ModelTuningLinks
This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction by tuning model hyperparameters and addressing class imbalance through over and under sampling data. Final model is productionized using a data pipeline
☆10Updated 2 years ago
Alternatives and similar repositories for Machine-Failure_Prediction_EnsembleMethods_ModelTuning
Users that are interested in Machine-Failure_Prediction_EnsembleMethods_ModelTuning are comparing it to the libraries listed below
Sorting:
- In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we i…☆12Updated 3 years ago
- Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM☆13Updated 3 months ago
- Automated Question-Answering Over Knowledge Graphs in O&M of Wind Turbines☆11Updated 3 years ago
- WindTurbineHighSpeedBearingPrognosis-Data☆10Updated 5 years ago
- Apply an end-to-end model structure (ViT + GPT) to describe images in more detail, rather than traditional image captioning that only pro…☆11Updated 8 months ago
- For data recovery of Structural Health Monitoring☆10Updated 2 years ago
- A machine learning model using weather data to predict MWH output of solar and wind farms in Texas.☆18Updated 4 years ago
- Code for paper "Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders."☆19Updated 3 years ago
- TsFormer is a toolbox that implement transformer models on Time series model☆11Updated last year
- Dataset accompanying the paper titled "Pothole detection and dimension estimation system using deep learning (YOLO) and image processing"☆12Updated 2 years ago
- Code and supplementary material complementing the WES-publication: "Change-point detection in wind turbine SCADA data for robust conditio…☆19Updated 4 years ago
- ☆10Updated 3 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- Supplementary data for utilising knowledge graph databases towards explainable decision support in wind turbines.☆18Updated 3 years ago
- ☆13Updated 2 years ago
- RealSeries is a comprehensive out-of-the-box Python toolkit for various tasks, including Anomaly Detection, Granger causality and Forecas…☆22Updated 3 years ago
- ☆15Updated 2 years ago
- Scripts, data and researches related to cow weight and breed prediction☆13Updated last month
- Monetize.ai is a web-based chatbot that provides personalized investment advice using GPT-3.5 and Yahoo Finance API. It's built using Fla…☆16Updated 2 years ago
- ☆14Updated 2 years ago
- Python Darts deep forecasting models☆34Updated 3 years ago
- A version of the Temporal Fusion Transformer in TF2 that is lightweight, utilizes Keras layers, and ultimately readable and modifiable.☆17Updated last year
- generate video with voice narration from ppt/pdf Slides☆10Updated 2 years ago
- Indic-Conformer models for ASR☆18Updated last year
- ☆13Updated 2 years ago
- Import, clean, and prepare data and conduct machine learning for fault detection in a wind turbine☆17Updated 8 years ago
- Matlab Predictive Maintenance Toolbox Introduction☆11Updated 2 years ago
- Experiment on QnA tabular data using LLMs and SQL☆28Updated 11 months ago
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆52Updated 3 years ago
- Offical implementation of "Confidence-Calibrated Face and Kinship Verification" (T-IFS 2023)☆21Updated 2 years ago