Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Edge computing: A promising framework for real-time fault diagnosis and dynamic control of rotating machines using multi-sensor data

G Qian, S Lu, D Pan, H Tang, Y Liu… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Edge computing is an emerging computing paradigm where computation is executed on the
edge of networks rather than on cloud servers, thereby reducing the system response time …

Review of machine learning approaches in fault diagnosis applied to IoT systems

NG Lo, JM Flaus, O Adrot - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
With increasing complex systems, low production costs, and changing technologies, for this
reason, the automatic fault diagnosis using artificial intelligence (AI) techniques is more in …

Machine-learning-based IoT–edge computing healthcare solutions

AK Alnaim, AM Alwakeel - Electronics, 2023 - mdpi.com
The data that medical sensors collect can be overwhelming, making it challenging to glean
the most relevant insights. An algorithm for a body sensor network is needed for the purpose …

Knowledge-based fault diagnosis in industrial internet of things: a survey

Y Chi, Y Dong, ZJ Wang, FR Yu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
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 …

A machine-learning-based distributed system for fault diagnosis with scalable detection quality in industrial IoT

R Marino, C Wisultschew, A Otero… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
In this article, a methodology based on machine learning for fault detection in continuous
processes is presented. It aims to monitor fully distributed scenarios, such as the Tennessee …

Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment

MQ Tran, M Elsisi, K Mahmoud, MK Liu… - IEEE …, 2021 - ieeexplore.ieee.org
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …

A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications

S Lavanya, A Prasanth, S Jayachitra, A Shenbagarajan - Measurement, 2021 - Elsevier
The advancement of the Internet of Things (IoT) technologies will play a significant role in
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …

Edge computing-assisted IoT framework with an autoencoder for fault detection in manufacturing predictive maintenance

W Yu, Y Liu, T Dillon, W Rahayu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent predictive maintenance in smart
manufacturing by incorporating IoT technologies, Big Data techniques, artificial intelligence …

A review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …