Designing an Artificial Immune Systems for Intelligent Maintenance Systems

Zuccolotto, Marcos; Pereira, Carlos Eduardo; Fasanotti, Luca; Cavalieri, Sergio; Lee, Jay

doi:10.1016/j.ifacol.2015.06.291

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…Based on immune models, a maintenance architecture able to detect faulty behavior has been proposed in [ 196 ]. Another network fault diagnosis approach based on AIS is presented in [ 177 ].…”

Section: Literature Review On Immune-inspired Approachesmentioning

confidence: 99%

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Widhalm

Goeschka

Kästner

2023

Sensors

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The use of fault detection and tolerance measures in wireless sensor networks is inevitable to ensure the reliability of the data sources. In this context, immune-inspired concepts offer suitable characteristics for developing lightweight fault detection systems, and previous works have shown promising results. In this article, we provide a literature review of immune-inspired fault detection approaches in sensor networks proposed in the last two decades. We discuss the unique properties of the human immune system and how the found approaches exploit them. With the information from the literature review extended with the findings of our previous works, we discuss the limitations of current approaches and consequent future research directions. We have found that immune-inspired techniques are well suited for lightweight fault detection, but there are still open questions concerning the effective and efficient use of those in sensor networks.

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Section: Literature Review On Immune-inspired Approachesmentioning

confidence: 99%

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Widhalm

Goeschka

Kästner

2023

Sensors

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“…The communication between machines and work pieces negotiates the point of time to start of the following production step. The resulting collaborative architecture is assimilated by Zuccolotto et al [202] to an Artificial Immune Intelligent Maintenance System (AI2MS) which is biologically inspired. In a complementary way, with regards to life cycle consideration Denkena et al [30] are using the term of gentelligent components to form new intelligent (maintenance) system.…”

Section: Future Of Continuous Maintenance Within the Industry 40 Conmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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“…Additional details regarding the architecture are available in previous works. [51][52][53][54] The main clusters include the following: Data provider agents. These agents are responsible for managing different sensors installed on a machine for data provisioning.…”

Section: Intrinsicmentioning

confidence: 99%

An artificial immune intelligent maintenance system for distributed industrial environments

Fasanotti¹,

Cavalieri

Dovere

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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Maintenance services of geographically dispersed industrial applications, such as oil transfer systems via pipelines and wastewater treatment plants, are affected by high logistics costs and risks of permanent downtimes. The increasing availability of smart technologies and devices has led to the introduction of advanced prognostic and diagnostic systems to support maintenance activities. In this context, artificial immune systems support the development of industrial applications, where machines and equipment are capable of self-repairing, healing and learning due to their ability to learn from experience. However, the applicability of artificial immune systems has a limited set of contexts along with a low incidence of real-word implementations in the literature, and thus, additional explorative studies are necessary. This article describes a proposed hybrid system conceived by integrating a multi-agent system-based architecture with the main features of artificial immune systems and evaluates its potential applications in two different industrial settings. The flexibility of the behaviour of artificial immune systems methodologies allows for the implementation of a reliable diagnostic and prognostic system, while the choice of multi-agent system architecture enables a mix of autonomy and distributed processing that overcomes the strong limitations of a reduced training dataset.

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Designing an Artificial Immune Systems for Intelligent Maintenance Systems

Cited by 11 publications

References 10 publications

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Continuous maintenance and the future – Foundations and technological challenges

An artificial immune intelligent maintenance system for distributed industrial environments

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