Key advances in pervasive edge computing for industrial Internet of Things in 5G and beyond
This article surveys emerging technologies related to pervasive edge computing (PEC) for
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
End-to-end industrial IoT platform for Quality 4.0 applications
Predictive maintenance, quality management, and zero-defect manufacturing are among the
most prominent smart manufacturing use cases in the Industry4. 0 era. Nevertheless, the …
most prominent smart manufacturing use cases in the Industry4. 0 era. Nevertheless, the …
XFDDC: eXplainable Fault Detection Diagnosis and Correction framework for chemical process systems
RRA Harinarayan, SM Shalinie - Process Safety and Environmental …, 2022 - Elsevier
Industry 4.0 process fault detection and diagnosis (FDD) is built on the foundations of
Industrial Internet of Things (IIoT) for sensing and artificial intelligence for recognizing …
Industrial Internet of Things (IIoT) for sensing and artificial intelligence for recognizing …
Sensor data reconstruction in industrial environments with cellular connectivity
C Kalalas, J Alonso-Zarate - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
The reliable acquisition of monitoring information is critical for several industrial use cases
relying on wireless sensor network deployments. However, missing sensor measurements …
relying on wireless sensor network deployments. However, missing sensor measurements …
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems
Most scenarios emerging from the Industry 4.0 paradigm rely on the concept of cyber‐
physical production systems (CPPS), which allow them to synergistically connect physical to …
physical production systems (CPPS), which allow them to synergistically connect physical to …
Depend Ability Analysis on CPS Using Machine Learning Techniques
S Dhanasekaran, V Vasudevan - Journal of Applied …, 2023 - journal.yrpipku.com
Abstract A Cyber-Physical System (CPS) is an entity that effortlessly monitors and controls
physical operations by integrating computational and physical elements. Dependability on …
physical operations by integrating computational and physical elements. Dependability on …
Information processing and data visualization in networked industrial systems
Networked industrial systems capitalize on recent advancements in sensing,
communications, computing and storage to improve productivity, operational and cost …
communications, computing and storage to improve productivity, operational and cost …
Rethinking the Operation Pattern for Anomaly Detection in Industrial Cyber–Physical Systems
Anomaly detection has been proven to be an efficient way to detect malicious behaviour and
cyberattacks in industrial cyber–physical systems (ICPSs). However, most detection models …
cyberattacks in industrial cyber–physical systems (ICPSs). However, most detection models …
Advanced Algorithms for Classification and Anomaly Detection on Log File Data: Comparative study of different Machine Learning Approaches
F Wessman - 2021 - diva-portal.org
Background: A problematic area in today's large scale distributed systems is the exponential
amount of growing log data. Finding anomalies by observing and monitoring this data with …
amount of growing log data. Finding anomalies by observing and monitoring this data with …
Increasing the performance of low power wide area networks through replication, coding, and non-orthogonal schemes
JM de Souza Sant'Ana - 2023 - oulurepo.oulu.fi
Abstract Low Power Wide Area Networks (LPWAN) are wireless solutions designed mainly
for Internet-of-Things (IoT) applications. However, the scalability of these networks remains a …
for Internet-of-Things (IoT) applications. However, the scalability of these networks remains a …