Asset Type
ML Model
Supervised Anomaly Detection Model Collection
Machine Learning and Deep Learning models to detect anomalies using time series data.
AI Assets related to #Anomaly Detection
Asset Type
ML Model
EurekAD: A revolutionary Anomaly Detection Framework
EurekAD is a service for anomaly detection in Industrial time series data.
Asset Type
Jupyter Notebook
DIH4AI: I-PRAG-4 Demo for experiment - Process monitoring using one-class support vector machine
Jupyter notebook demonstrating usage of multivariate anomaly detection based on machine learning to process monitoring and detection of a suspicious state of a process.
Asset Type
ML Model
Autoencoder-Based Maritime Anomaly Detection
A model capable of detecting anomalous ship behavior for a given geographical region.
Asset Type
ML Model
Predictive Maintenance Algorithms for Ball Screws
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, ...
Asset Type
As a Service
Automatic Detection of Broken Insulator Service for power line inspections [I-NERGY]
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...
Asset Type
Docker container
ADIOS - I-NERGY- Label Extend
This container provide the services for label extension on a tagged dataset using a voting algorithm.
Asset Type
Dataset
ADIOS - I-NERGY Open Dataset
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.
Asset Type
Dataset
Synthetic dataset with transformer temperatures
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.
Education resources related to #Anomaly Detection
Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes
The application of automated inspection for industrial pipe damage detection is attracting substantial research and development interest. Damage to pipes not only hinders the optimal functioning of factories but also presents a risk of industrial disaster...
X-ray Anomaly Detection in Industrial Pipelines
As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images of steel pipelines to detect ...
Foreground-Aware Knowledge Distillation for Enhanced Damage Detection
Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications. Conventional industrial inspection methods are hindered ...
Deep learning algorithms for intelligent support of workers
This short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection offers a comprehensive overview and in-depth presentation of various computer vision and deep learning challenges encountered during the inspection of industri...
Drone imaging for industrial infrastructure inspection
This short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection offers a comprehensive overview and in-depth presentation of various computer vision and deep learning challenges encountered during the inspection of industri...
Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection
This short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection offers a comprehensive overview and in-depth presentation of various computer vision and deep learning challenges encountered during the inspection of industri...
AI in the Industry Tutorial - Part 04
A tutorial from the AI in the Industry course from University of Bologna, covering neural network based methods for anomaly detection