boschresearch / Hydraulic-EoL-TestingLinks
Multivariate Time Series Data usable for Time Series Segmentation and Time Series Classification. Each sample represents the multi-phased End-of-Line-Testing Cycle of one hydraulic pump (9 sensors). For confidentality reasons, the data were normalized and the sensor names anonymized.
☆11Updated last year
Alternatives and similar repositories for Hydraulic-EoL-Testing
Users that are interested in Hydraulic-EoL-Testing are comparing it to the libraries listed below
Sorting:
- Siddhartha80 / AI-Powered-Predictive-Maintenance-System-for-Vehicles-with-Real-Time-Data-Visualization-and-AnalysisGradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Updated last year
- Official implementation of Enhanced Gaussian Process Dynamical Modeling for Battery Health Status Forecasting.☆17Updated last year
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆55Updated 3 years ago
- Fuhrländer FL2500 2.5MW wind turbine dataset + pre-processing functions R MATLAB☆20Updated 2 years ago
- A feasible digital twin solution prototype for industry 4.0, which will be demonstrated for offshore wind farms through lab-based physica…☆10Updated 3 years ago
- Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …☆133Updated 2 years ago
- A curated list of datasets, publically available for machine learning research in the area of manufacturing☆189Updated 3 years ago
- Datasets for Predictive Maintenance☆150Updated 8 months ago
- Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the re…☆87Updated last year
- Tensorflow implementation of time series generation using a variational autoencoder☆26Updated last year
- ClaSPy: A Python package for time series segmentation.☆130Updated 6 months ago
- Wind turbine fault detection using one class SVM☆16Updated 3 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆142Updated 4 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆141Updated 5 years ago
- SOC prediction based on battery data.☆18Updated 4 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆84Updated 5 years ago
- A model-agnostic framework for explaining time-series classifiers using Shapley values☆23Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 4 years ago
- Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction☆60Updated 2 years ago
- ☆99Updated 2 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆24Updated last year
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆36Updated 3 years ago
- 轴承故障数据集☆19Updated 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
- Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning☆18Updated 3 years ago
- An advancement on the EEMD method, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) allows for a granular spe…☆26Updated 3 years ago
- ☆36Updated 2 years ago
- Transfer 🤗 Learning for Time Series Forecasting☆255Updated last year
- ☆15Updated 2 years ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Updated last year