An Epigenetic Modeling Approach for Adaptive Prognostics of Engineered Systems

Seale, Maria; García-Reyero, Natàlia; Salter, R. Cody; Ruvinsky, Alicia

doi:10.1016/j.procs.2021.05.033

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Presented here is a previously developed set-theoretic representation for characterizing epigenetic concepts for engineered systems [2]. This section provides the key ideas from that representation.…”

Section: Set-theoretic Representationmentioning

confidence: 99%

“…This section provides the key ideas from that representation. The reader is referred to [2] for more details.…”

Section: Set-theoretic Representationmentioning

confidence: 99%

“…Previous work [2] presents a novel knowledge representation for engineered systems in support of PHM based on concepts from epigenetics. The representation is set-theoretic and provides a conceptual mapping for the representation of engineered systems as epigenetic elements and relationships, including interactions with the environment and the resulting expression of system health.…”

Section: Introductionmentioning

confidence: 99%

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An ontology for an epigenetics approach to prognostics and health management

Ruvinsky¹,

Seale²,

Salter³

et al. 2023

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Techniques in prognostics and health management have advanced considerably in the last few decades, enabled by breakthroughs in computational methods and supporting technologies. These predictive models, whether data-driven or physics-based, target the modeling of a system’s aggregate performance. As such, they generalize assumptions about the modelled system’s components, and are thus limited in their ability to represent individual components and the dynamic environmental factors that affect composite system health. To address this deficiency, we have developed an epigenetics-inspired knowledge representation for engineered system state that encompasses components and environmental factors. Epigenetics is concerned with explaining how environmental factors affect the expression of an organism’s genetic material. The field has derived important in-sights into the development and progression of disease states based on how environmental factors impact genetic material, causing variations in how a gene is expressed. The health of an engineered system is similarly influenced by its environment. A foundation for a new approach to prognostics based on epigenetics must begin by representing the entities and relationships of an engineered system from the perspective of epigenetics. This paper presents an ontology for an epigenetics-inspired representation of an engineered system. An ontology describing the epigenetics of an engineered system will enable the composition of a formal model and the incremental development of a more robust, causal reasoning system.

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Section: Set-theoretic Representationmentioning

confidence: 99%

“…This section provides the key ideas from that representation. The reader is referred to [2] for more details.…”

Section: Set-theoretic Representationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An ontology for an epigenetics approach to prognostics and health management

Ruvinsky¹,

Seale²,

Salter³

et al. 2023

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“…Developing novel health monitoring methods for detecting fault initiation and tracking the progression of rod ends till failure circumstances is realized by establishing a physics-based model of these components. As proposed by [37], the field of epigenetics offers valuable insights into the influence of environmental influences on the expression of an organism's genes. This knowledge contributes to our understanding of the overall health of biological systems and can be utilized to make predictions about their future states.…”

Section: Physics-based Approachesmentioning

confidence: 99%

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Fu,

Avdelidis

2023

Sensors

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Prognostic and health management (PHM) plays a vital role in ensuring the safety and reliability of aircraft systems. The process entails the proactive surveillance and evaluation of the state and functional effectiveness of crucial subsystems. The principal aim of PHM is to predict the remaining useful life (RUL) of subsystems and proactively mitigate future breakdowns in order to minimize consequences. The achievement of this objective is helped by employing predictive modeling techniques and doing real-time data analysis. The incorporation of prognostic methodologies is of utmost importance in the execution of condition-based maintenance (CBM), a strategic approach that emphasizes the prioritization of repairing components that have experienced quantifiable damage. Multiple methodologies are employed to support the advancement of prognostics for aviation systems, encompassing physics-based modeling, data-driven techniques, and hybrid prognosis. These methodologies enable the prediction and mitigation of failures by identifying relevant health indicators. Despite the promising outcomes in the aviation sector pertaining to the implementation of PHM, there exists a deficiency in the research concerning the efficient integration of hybrid PHM applications. The primary aim of this paper is to provide a thorough analysis of the current state of research advancements in prognostics for aircraft systems, with a specific focus on prominent algorithms and their practical applications and challenges. The paper concludes by providing a detailed analysis of prospective directions for future research within the field.

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“…Another example opportunity for ontology integration to enable the use and value of AOPs-ES in engineering is the previous work by [19], [20] in which they define a set theoretic construction describing an epigenetic approach to engineered systems. In [21], an ontology was defined for this epigenetics for engineered systems concept.…”

Section: Engineering Ontologiesmentioning

confidence: 99%

Adverse outcome pathways for engineered systems

Salter¹,

Garcia-Reyero²,

Ruvinsky³

et al. 2023

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Companies and organizations around the world spend massive amounts of money each year to discover, predict, and remediate failures within engineered systems. These tasks require individuals with specialized knowledge in a variety of topics related to failure. This knowledge is often acquired through years of academic and on-the-job training centered around the review of scientific documentation such as books, reports, manuals, and peer-reviewed publications. The loss of this knowledge through employee attrition can be detrimental to a group as knowledge is often difficult to reacquire. The aggregation and representation of known failure mechanisms for engineered materials could aid in the sharing of knowledge, the acquisition of knowledge, and the discovery of failure causes, reducing the risk of failure. Thus, the current work proposes the Adverse Outcome Pathway for Engineered Systems (AOP-ES) framework, an extension of the Adverse Outcome Pathway used in toxicology. The AOP-ES is designed to document failure knowledge, enabling knowledge transfer and the prediction of failures of novel engineered materials based on the performance of similar materials. This paper introduces the AOP-ES framework and its key elements alongside the principles that govern the framework. An application of the framework is presented, and additional benefits are explored.

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An Epigenetic Modeling Approach for Adaptive Prognostics of Engineered Systems

Cited by 5 publications

References 18 publications

An ontology for an epigenetics approach to prognostics and health management

An ontology for an epigenetics approach to prognostics and health management

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Adverse outcome pathways for engineered systems

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