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 …

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 …

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 distributed sensor-fault detection and diagnosis framework using machine learning

SU Jan, YD Lee, IS Koo - Information Sciences, 2021 - Elsevier
The objective of this work is to design a sensor-fault detection and diagnosis system for the
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …

Real-time fault detection for IIoT facilities using GBRBM-based DNN

H Huang, S Ding, L Zhao, H Huang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Fault detection is a fundamental requirement for Industrial Internet of Things (IIoT), such as
the process industry. This article first reviews the recent studies focusing on applying the …

Intelligent fault-tolerance data routing scheme for IoT-enabled WSNs

V Agarwal, S Tapaswi, P Chanak - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have become one of the essential components of the
Internet of Things (IoT). In any IoT application, different sensor-based devices gather data …

Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks

P Chanak, I Banerjee - Expert Systems with Applications, 2016 - Elsevier
In a wireless sensor network (WSNs), probability of node failure rises with increase in
number of sensor nodes within the network. The, quality of service (QoS) of WSNs is highly …

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 …

CAFD: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning

U Saeed, YD Lee, SU Jan, I Koo - Sensors, 2021 - mdpi.com
Sensors' existence as a key component of Cyber-Physical Systems makes it susceptible to
failures due to complex environments, low-quality production, and aging. When defective …

A smart optimization of fault diagnosis in electrical grid using distributed software-defined IoT system

AK Al Mhdawi, HS Al-Raweshidy - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Electrical power demands have increased significantly over the last years due to rapid
increase in air conditioning units and home appliances per domestic unit, particularly in Iraq …