Ontology for computer-aided fault tree synthesis

Venceslau, Allan; Lima, Raphaela; Guedes, Luiz Affonso; Silva, Ivanovitch

doi:10.1109/etfa.2014.7005334

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…The development process is supported by tools that facilitate fault tree diagram generation. Semi-automatic building is based on translating a model written in SysML [92], UML [93], AADL [94] or is generated from a defined set of components, function tables and transition tables [95,96].…”

Section: Fault Tree Analysismentioning

confidence: 99%

From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry

Moleda

Małysiak-Mrozek

Ding

et al. 2023

Sensors

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Appropriate maintenance of industrial equipment keeps production systems in good health and ensures the stability of production processes. In specific production sectors, such as the electrical power industry, equipment failures are rare but may lead to high costs and substantial economic losses not only for the power plant but for consumers and the larger society. Therefore, the power production industry relies on a variety of approaches to maintenance tasks, ranging from traditional solutions and engineering know-how to smart, AI-based analytics to avoid potential downtimes. This review shows the evolution of maintenance approaches to support maintenance planning, equipment monitoring and supervision. We present older techniques traditionally used in maintenance tasks and those that rely on IT analytics to automate tasks and perform the inference process for failure detection. We analyze prognostics and health-management techniques in detail, including their requirements, advantages and limitations. The review focuses on the power-generation sector. However, some of the issues addressed are common to other industries. The article also presents concepts and solutions that utilize emerging technologies related to Industry 4.0, touching on prescriptive analysis, Big Data and the Internet of Things. The primary motivation and purpose of the article are to present the existing practices and classic methods used by engineers, as well as modern approaches drawing from Artificial Intelligence and the concept of Industry 4.0. The summary of existing practices and the state of the art in the area of predictive maintenance provides two benefits. On the one hand, it leads to improving processes by matching existing tools and methods. On the other hand, it shows researchers potential directions for further analysis and new developments.

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Section: Fault Tree Analysismentioning

confidence: 99%

From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry

Moleda

Małysiak-Mrozek

Ding

et al. 2023

Sensors

View full text Add to dashboard Cite

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Analysis of Risk in Building Life Cycle Coupling BIM-based Energy Simulation and Semantic Modeling

Pruvost

Scherer

2017

Procedia Engineering

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Modular approach for expert system toward anomaly: N-layers

Pardo

Espes

Le-Parc

2016

2016 International Symposium on Networks, Computers and Communications (ISNCC)

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Smart cities and smart homes are booming fields of development of pervasive systems. With the high stakes these systems have to manage, and their sheer complexity, anomalies have to be considered. In these complex systems are many connected components with computing capacities. They can manage anomalies, even if partially, and can act as some kind of expert systems. These expert systems can be relied upon to provide anomaly management. The complexity to manage generic expert systems brings us to suggest another approach. In this paper, the N-layers is discussed. It layers the various existing expert systems to organize them as a more generic expert system. It also aims to correct some difficulties to develop and integrate generic expert systems into various scales complex systems, such as smart cities or smart homes.

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Ontology for computer-aided fault tree synthesis

Cited by 5 publications

References 10 publications

From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry

From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry

Analysis of Risk in Building Life Cycle Coupling BIM-based Energy Simulation and Semantic Modeling

Modular approach for expert system toward anomaly: N-layers

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