Performance Assessment Based on Evidence Theory and Fuzzy Logic: Application to Building and Dam Performance

Talon, Aurélie; Curt, Corinne; Boissier, Daniel

doi:10.1061/(asce)cp.1943-5487.0000255

Cited by 15 publications

(8 citation statements)

References 23 publications

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“…This type of simulation tool must take into account the impossibility seen above of precisely determining, beyond a timeframe of a few years, the infrastructure items liable to be concerned by targeted, obligatory or opportunity renovation. One possible path is to adopt a theoretical probabilistic framework (there are however other possible approaches belonging to fuzzy logic or the theory of possibilities, presented by Talon et al (2014)).…”

Section: Ensuring Consistency Between Short-term Operational Planning...mentioning

confidence: 99%

Water infrastructure asset management: state of the art and emerging research themes

Gat

Curt

Werey

et al. 2023

Structure and Infrastructure Engineering

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The long-term maintenance of infrastructure requires asset management. This latter is defined as a series of actions aimed at the long-term maintenance of the capacity of an infrastructure to provide an efficient service for users, at costs and with impacts that are tolerable for society and the environment. The actions implemented concern notably the inventory of infrastructures, their monitoring, inspection and maintenance, the analysis of their state and performance, their reinforcement, renovation, and the definition of long-term technical-financial policies. This paper is structured around four themes based on the authors' experience faced with an analysis of the perspectives set out in recent articles. For each theme, a state of the art largely based on the literature in the field, as well as emerging and nevertheless pressing needs in terms of knowledge production and tools to support reflection and decision-making are presented: temporal and spatial dimensions of Water Infrastructure Asset Management and their consistency; multi-infrastructure management seen from the perspective of physical interdependences and decision-aids; governance, organisations and territories; digital representation of the socio-technical infrastructural system. The analysis is carried out following several disciplines from the engineering and, the human and social sciences.Infrastructure linked to water are studied.

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Section: Ensuring Consistency Between Short-term Operational Planning...mentioning

confidence: 99%

Water infrastructure asset management: state of the art and emerging research themes

Gat

Curt

Werey

et al. 2023

Structure and Infrastructure Engineering

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“…We build the indicators according to a formalization grid existing in the literature (Curt et al, 2010;Talon et al, 2014) that allows obtaining the information necessary to correctly use the indicators: repeatability and reproducibility must be achieved.…”

Section: Indicators Formalizationmentioning

confidence: 99%

Evaluating the suitability of documents on the prevention of major risks intended for the general public

Ferrer

Curt

2021

Preprint

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Abstract. Providing preventive information to the public is one of the major challenges in the prevention of major hazards. In France, the DICRIM (Document d'Information Communal sur les Risques Majeurs; in English "Municipal Information Document on Major Risks") is currently the main regulatory risk communication tool intended for the general public. It has been developed with the aim of contributing to awareness and knowledge of risks and informing on the actions and behaviors to adopt. This raises questions as to its suitability composed of readability and legibility, essential for its appropriation by the population. Answering these questions constitutes the first step in improving its effectiveness. This article presents the development of indicators and a decision support model used to analyze and improve the suitability of a DICRIM. Two types of indicator, considering visual and content characteristics, were developed: System Indicators for the entire document and Substantive and Formal Component Indicators for the fields it contains. They were formalized using five types of source: the literature, expert knowledge, opinions of residents, analysis of a DICRIM database and a questionnaire survey. The aggregation of indicators provides suitability scores and feedback on what should be improved in the DICRIM. Validation sessions were performed with five risk analysis experts. The advantage of the model is that it can be used by the town halls and design offices of any municipality without the need to call on experts or significant human or financial resources.

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“…It was first presented by Dempsterbased on the notion of upper and lower probabilities, and then consummated by Shafer (Dampster 1967;Shafer 1976). This method has been successfully applied in many application fields such as data fusion, image analysis, pattern recognition and decision making (Talon et al 2014). For probability estimation, the evidence theory adopts a belief function, which is built usingevent probability and constraint expression withthe novel percept notions, i.e.…”

Section: Decision Level Fusion Based On D-s Evidence Theorymentioning

confidence: 99%

Condition Assessment of Timber Utility Poles Based on a Hierarchical Data Fusion Model

Dackermann

Liu

et al. 2016

J. Comput. Civ. Eng.

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This paper proposes a novel hierarchical data fusion technique for the non-destructive testing (NDT) and condition assessment of timber utility poles. The new method analyses stress wave data from multi-sensor multi-excitation guided wave testing using a hierarchical data fusion model consisting of feature extraction, data compression, pattern recognition and decision fusion algorithms. The proposed technique is validated on guided waved at a of in-situ timber poles. The actual health states of these poles are known from autopsies conducted after the testing, forming a ground-truth for supervised classification. In the proposed method, a data fusion level extracts the main features from the sampled stress wave signals using power spectrum density (PSD) estimation, wavelet packet transform (WPT) and empirical mode decomposition (EMD). These features are then compiled to a feature vector via real-number encoding and sent to the next level for further processing. Principal component analysis (PCA) is also adopted for feature compression and to minimise information redundancy and noise interference. In the feature fusion level, two classifiers based on support vector machine (SVM) are applied to sensor separated data of the two excitation types and the pole condition is identified. In the decision making fusion level, the D-S evidence theory is employed to integrate the results from the individual sensors obtaining a final decision. The results of the in-situ timber pole testing show that the proposed hierarchical data fusion model was able to distinguish between healthy and faulty poles demonstrating the effectiveness of the new method.

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Performance Assessment Based on Evidence Theory and Fuzzy Logic: Application to Building and Dam Performance

Cited by 15 publications

References 23 publications

Water infrastructure asset management: state of the art and emerging research themes

Water infrastructure asset management: state of the art and emerging research themes

Evaluating the suitability of documents on the prevention of major risks intended for the general public

Condition Assessment of Timber Utility Poles Based on a Hierarchical Data Fusion Model

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