Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance
In the last years, one of the main challenges in Industry 4.0 concerns maintenance
operations optimization, which has been widely dealt with several predictive maintenance …
operations optimization, which has been widely dealt with several predictive maintenance …
Data cleaning and restoring method for vehicle battery big data platform
Battery is one of the most important and costly devices in electric vehicles (EVs). Developing
an efficient battery management method is of great significance to enhancing vehicle safety …
an efficient battery management method is of great significance to enhancing vehicle safety …
Automatic whitelist generation system for ethernet based in-vehicle network
Owing to the development of industrial internet of things (IIoT) technology, the connectivity
and complexity of vehicles have also increased, and new communication technologies have …
and complexity of vehicles have also increased, and new communication technologies have …
Data analytics in fleet operations: A systematic literature review and workflow proposal
PH Brunheroto, ALG Pepino, F Deschamps… - Procedia CIRP, 2022 - Elsevier
Fleet operations have been one of the main concerns of a wide range of industries,
particularly those industries in which transportation plays a pivotal role for operational …
particularly those industries in which transportation plays a pivotal role for operational …
K-mdtsc: K-multi-dimensional time-series clustering algorithm
The increasing capability to collect data gives us the possibility to collect a massive amount
of heterogeneous data. Among the heterogeneous data available, time-series represents a …
of heterogeneous data. Among the heterogeneous data available, time-series represents a …
Telematics and machine learning system for estimating the load condition of a heavy-duty vehicle
FR von Glehn, BHP Gonçalves, MGF Neto… - Procedia Computer …, 2024 - Elsevier
This study employs machine learning techniques to determine whether trucks are loaded or
empty based solely on data from the vehicle's communication network, especially from the …
empty based solely on data from the vehicle's communication network, especially from the …
Blockchain-Enabled Vehicle Lifecycle Management With Predictive Maintenance using Federated Learning
The traditional landscape of vehicle lifecycle management systems has several issues,
including widespread fraud, opaque processes, and limited accessibility. As a result, there is …
including widespread fraud, opaque processes, and limited accessibility. As a result, there is …
An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles
Individual usage profile (aka true usage profile) of military logistic vehicles (MLV) is highly
dependent on types of operations, duration and areas of use. Compared to non-military …
dependent on types of operations, duration and areas of use. Compared to non-military …
[PDF][PDF] A Comparative Assessment of eXplainable AI Tools in Predicting Hard Disk Drive Health
In addressing the challenge of optimizing maintenance operations in Industry 4.0, recent
efforts have focused on predictive maintenance frameworks. However, the effectiveness of …
efforts have focused on predictive maintenance frameworks. However, the effectiveness of …
Operational Management of Production for Car Maintenance and Repair Using Digital Twin Technology
E Kozin - The Future of Industry: Human-Centric Approaches in …, 2024 - Springer
The article discusses approaches to creating a digital twin of a car service station. Given the
six levels of evolution of digital twins identified by experts, the work proposes ways for …
six levels of evolution of digital twins identified by experts, the work proposes ways for …