Knowledge-based fault diagnosis in industrial internet of things: a survey
Industrial Internet of Things (IIoT) systems connect a plethora of smart devices, such as
sensors, actuators, and controllers, to enable efficient industrial productions in manners …
sensors, actuators, and controllers, to enable efficient industrial productions in manners …
Construction and evolution of fault diagnosis knowledge graph in industrial process
H Han, J Wang, X Wang, S Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The steel industry production line is complicated and contains a substantial amount of
equipment, leading to serious problems in fault diagnosis (FD) such as wrong inspection …
equipment, leading to serious problems in fault diagnosis (FD) such as wrong inspection …
Networking Parallel Web3 Metaverses for Interoperability
Parallel Web3 metaverses play a vital role in preventing monopolistic markets and fostering
fair and profound user experiences. Meanwhile, ensuring interconnections and …
fair and profound user experiences. Meanwhile, ensuring interconnections and …
Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing
In the process of rotating machinery fault diagnosis (RMFD), the lack of feature conditions
leads to the problem of low accuracy of traditional rule-based reasoning methods FD. This …
leads to the problem of low accuracy of traditional rule-based reasoning methods FD. This …
Knowledge Inference Over Web 3.0 for Intelligent Fault Diagnosis in Industrial Internet of Things
Collaboration through knowledge sharing is critical for the success of intelligent fault
diagnosis in a complex Industrial Internet of Things (IIoT) system that comprises various …
diagnosis in a complex Industrial Internet of Things (IIoT) system that comprises various …
Solving the IoT Cascading Failure Dilemma Using a Semantic Multi-agent System
Abstract Managing interdependent Internet of Things (IoT) devices can be challenging
because different actors, eg, operators and service providers, propose siloed Device …
because different actors, eg, operators and service providers, propose siloed Device …
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
With the development of intelligent manufacturing and the increasing complexity of industrial
production, root cause diagnosis has gradually become an important research direction in …
production, root cause diagnosis has gradually become an important research direction in …
Collaborative Cascading Failure Management on Internet of Things devices
A Guittoum - 2024 - theses.hal.science
In a complex Internet of Things (IoT) system (ie Smart Cities, Smart Buildings, Smart
Transport, Industry 4.0), IoT devices are more and more interconnected and interdependent …
Transport, Industry 4.0), IoT devices are more and more interconnected and interdependent …
Fault Diagnosis Method Based on Distributed Online Collaborative Distillation
Y Long, Y Yang, C Fan, Z Gao, L Rui - International Conference on …, 2023 - Springer
Distributed networks and systems are becoming more and more widespread and practical in
applications. The distributed network has a large scale and a large number of edge …
applications. The distributed network has a large scale and a large number of edge …
Evolvable Knowledge Graphs in Manufacturing: Learning approaches
This study conducts a systematic literature review to explore the current state of the art of
evolvable KGs in manufacturing, which have an important role in the era of Industry 4.0 and …
evolvable KGs in manufacturing, which have an important role in the era of Industry 4.0 and …