Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
MA Hoffmann, R Lasch - ACM Computing Surveys, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …
detection and prediction has gained much attention from scholars and practitioners. This …
[HTML][HTML] PredMaX: Predictive maintenance with explainable deep convolutional autoencoders
A novel data exploration framework (PredMaX) for predictive maintenance is introduced in
the present paper. PredMaX offers automatic time period clustering and efficient …
the present paper. PredMaX offers automatic time period clustering and efficient …
Prescriptive maintenance: a comprehensive review of current research and future directions
Purpose Providing a comprehensive literature review to consolidate existing knowledge,
advancements and future directions in the field. By synthesizing the state of research, this …
advancements and future directions in the field. By synthesizing the state of research, this …
[HTML][HTML] ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models
E Haedecke, M Mock, M Akila - Computers & Graphics, 2023 - Elsevier
Abstract We present ScrutinAI, a Visual Analytics tool to leverage semantic understanding
for deep neural network (DNN) prediction analysis, focusing on models for object detection …
for deep neural network (DNN) prediction analysis, focusing on models for object detection …
[PDF][PDF] ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions.
E Haedecke, M Mock, M Akila - EuroVA@ EuroVis, 2022 - diglib.cgv.tugraz.at
Abstract We present ScrutinAI, a Visual Analytics approach to exploit semantic
understanding for deep neural network (DNN) predictions analysis, focusing on models for …
understanding for deep neural network (DNN) predictions analysis, focusing on models for …
Truthful meta-explanations for local interpretability of machine learning models
Abstract Automated Machine Learning-based systems' integration into a wide range of tasks
has expanded as a result of their performance and speed. Although there are numerous …
has expanded as a result of their performance and speed. Although there are numerous …
Holistic and scalable smart optimization framework for prescriptive maintenance
Prescriptive maintenance (PsM) is a proactive approach enabled by the Internet of Things
(IoT), asset health prognostics, and prescriptive analytics that aims to optimize maintenance …
(IoT), asset health prognostics, and prescriptive analytics that aims to optimize maintenance …
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series
Industrial processes are monitored by a large number of various sensors that produce time-
series data. Deep Learning offers a possibility to create anomaly detection methods that can …
series data. Deep Learning offers a possibility to create anomaly detection methods that can …
[PDF][PDF] Interpretable Predictive Maintenance: Global and Local Dimensionality Reduction Approach
G Christodoulou - 2022 - ikee.lib.auth.gr
The failure of machines and tools should never be unexpected. Even the most rugged
equipment and hydraulic tools require maintenance. However, they are frequently utilized in …
equipment and hydraulic tools require maintenance. However, they are frequently utilized in …