A review on fault detection and diagnosis techniques: basics and beyond

A Abid, MT Khan, J Iqbal - Artificial Intelligence Review, 2021 - Springer
Safety and reliability are absolutely important for modern sophisticated systems and
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …

Fault detection, diagnosis and recovery using Artificial Immune Systems: A review

N Bayar, S Darmoul, S Hajri-Gabouj… - … Applications of Artificial …, 2015 - Elsevier
Biological immunity is a natural system that protects a host organism against disease
causing elements threatening its normal functioning. It offers many interesting features that …

Industrial agents: emerging applications of software agents in industry

P Leitão, S Karnouskos - 2015 - books.google.com
Industrial Agents explains how multi-agent systems improve collaborative networks to offer
dynamic service changes, customization, improved quality and reliability, and flexible …

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

BSJ Costa, PP Angelov, LA Guedes - Neurocomputing, 2015 - Elsevier
In this paper, we propose a two-stage algorithm for real-time fault detection and identification
of industrial plants. Our proposal is based on the analysis of selected features using …

An evolving approach to unsupervised and real-time fault detection in industrial processes

CG Bezerra, BSJ Costa, LA Guedes… - Expert systems with …, 2016 - Elsevier
Fault detection in industrial processes is a field of application that has gaining considerable
attention in the past few years, resulting in a large variety of techniques and methodologies …

A survey of artificial immune system based intrusion detection

H Yang, T Li, X Hu, F Wang… - The Scientific World …, 2014 - Wiley Online Library
In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to
discover abnormal access to computers by analyzing various interactions. There is a lot of …

Negative selection algorithm research and applications in the last decade: A review

KD Gupta, D Dasgupta - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
The negative selection algorithm (NSA) is one of the important methods in the field of
immunological computation (or artificial immune systems). Over the years, some progress …

Negative selection in anomaly detection—A survey

P Saurabh, B Verma - Computer Science Review, 2023 - Elsevier
The remarkable ability to separate and identify self and non-self in a given problem space,
makes negative selection a fascinating concept of artificial immune system. Therefore …

An intrusion detection model for wireless sensor networks with an improved V-detector algorithm

Z Sun, Y Xu, G Liang, Z Zhou - IEEE sensors journal, 2017 - ieeexplore.ieee.org
Due to the advantage of negative selection algorithm (NSA) in classification domain, this
paper proposes an intrusion detection model named as wireless sensor networks (WSN …

A generic cyber immune framework for anomaly detection using artificial immune systems

BJ Bejoy, G Raju, D Swain, B Acharya, YC Hu - Applied Soft Computing, 2022 - Elsevier
Intrusion detection systems play a significant role in computer security. Artificial immune
systems are the prime contender in develo** an anomaly-based intrusion detection …