Machine Learning and Deep Learning models to detect anomalies using time series data. read more of Supervised Anomaly Detection Model Collection

EurekAD is a service for anomaly detection in Industrial time series data. read more of EurekAD: A revolutionary Anomaly Detection Framework

Jupyter notebook demonstrating usage of multivariate anomaly detection based on machine learning to process monitoring and detection of a suspicious state of a process. read more of DIH4AI: I-PRAG-4 Demo for experiment - Process monitoring using one-class support vector machine

A model capable of detecting anomalous ship behavior for a given geographical region. read more of Autoencoder-Based Maritime Anomaly Detection

A workflow for the specific case of process monitoring data which contains cycles repeating over a long time is presented. The method relies on predefined features ideally used as health-indicators which are aggregated over the cycles. Anomaly detection, ... read more of Predictive Maintenance Algorithms for Ball Screws

The project SuperPower 2.0 developed thanks to I-NERGY open calls has developed an AI tool for automatic detection of broken insulators using a YOLO architecture. The end-goal of the developed system is to be able to provide end clients (power line own... read more of Automatic Detection of Broken Insulator Service for power line inspections [I-NERGY]

This container provide the services for label extension on a tagged dataset using a voting algorithm. read more of ADIOS - I-NERGY- Label Extend

This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of SCADA data for Energy Management Systems. read more of ADIOS - I-NERGY Open Dataset

This file contains a synthetic dataset to create baseline behavior models for transformers temperature. The dataset is a 5 columns containing the 4 temperature and the hour, with a 5 minutes frequency. read more of Synthetic dataset with transformer temperatures