Multi-Sensor Data Fusion for High-Resolution Material Characterization

Dion, Juanita; Kumar, M.; Ramuhalli, Pradeep

doi:10.1063/1.2718101

Cited by 17 publications

(6 citation statements)

References 8 publications

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“…A number of advances in NDE have been ongoing, although no single NDE method is likely to be sensitive to all degradation mechanisms of interest in advanced reactors. In addition, in proposed AdvSMR designs, degradation may occur at different locations, have different causes and growth rates, and consequently may require a number of different measurement methods to ensure overall detection reliability (Gros 1997;Dion et al 2007). Details of conventional and advanced techniques, and research on sensors for harsh environments that may be leveraged for use in PHM, are available in a number of previous reports in this series (Meyer et al 2010;Meyer et al 2011;).…”

Section: Nondestructive Evaluationmentioning

confidence: 99%

Local-Level Prognostics Health Management Systems Framework for Passive AdvSMR Components. Interim Report

Ramuhalli

Roy

Hirt

et al. 2014

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Section: Nondestructive Evaluationmentioning

confidence: 99%

Local-Level Prognostics Health Management Systems Framework for Passive AdvSMR Components. Interim Report

Ramuhalli

Roy

Hirt

et al. 2014

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“…Much of the work to date has focused on the fusion being performed at the signal level, using similar forms of measurements (for instance, image data), with little effort being expended on fusing dissimilar forms (such as fusing image data with time-4.9 series measurements). These have tended to focus on fusing information at a higher level after the measurement data has been processed and a diagnostic result obtained from each of the measurement sources (Dion et al 2007). These techniques are largely data-driven and require data sets from known sources to determine the parameters of the fusion algorithm.…”

Section: Diagnosticsmentioning

confidence: 99%

Technical Needs for Prototypic Prognostic Technique Demonstration for Advanced Small Modular Reactor Passive Components

Meyer¹,

Coble²,

Hirt³

et al. 2013

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A key national energy priority to promote energy security is sustainable nuclear power. Nuclear energy currently contributes approximately 20% of baseload electrical needs in the United States and is considered a reliable generation source to meet future electricity needs. Advanced small modular reactors (AdvSMRs) using non-light-water reactor coolants such as liquid metal, helium, or liquid salt are promising mid-to long-term options being explored for added functionality and affordability in future reliable nuclear power deployment. AdvSMRs can offer potential advantages over more conventional technologies in the areas of safety and reliability, sustainability, affordability, functionality, and proliferation resistance. However, a number of technical challenges will need to be addressed before AdvSMRs are ready for deployment, given their potential for remote deployment with minimal staffing, longer operating cycles between planned refueling and maintenance outages, and support for multiple energy applications. In addition, AdvSMRs (like SMRs based on more conventional light-water reactor technologies) will have reduced economy-of-scale savings when compared to current generation lightwater reactors (LWRs). Issues related to AdvSMR deployment can be addressed through cross-cutting RD&D involving instrumentation, controls, and human-machine interface (ICHMI) technologies. Specifically, diagnostics and prognostics technologies provide a mechanism for improving safety and reliability of AdvSMRs through integrated health management of passive components. This report identifies activities and develops an outline of a research plan to address the high-priority technical needs for demonstrating prototypic prognostic techniques to manage degradation of passive AdvSMR components. Concepts for AdvSMRs span a wide range of design maturity, specificity, and concepts of operation, including multi-unit, multi-product-stream generating stations. Key to the development and deployment of AdvSMRs will be the ability to ensure safe and affordable operation of these reactor designs. AdvSMR designs generally place more emphasis on passive systems to assure safety. However, degradation in all passive components will need to be well-managed to maximize safety, operational lifetimes, and plant reliability while minimizing maintenance demands, if reduced economies-of-scale are to be overcome. Traditional approaches such as periodic in-service nondestructive inspections are likely to have limited applicability to AdvSMRs, given the expectation of longer operating periods and potential difficulties with inspection access to critical components. Advanced instrumentation and control (I&C) technologies can provide a mechanism for achieving these goals. However, the significant technology and environmental differences between AdvSMRs and conventional LWRs and the potential for modularized deployment result in unique challenges and needs for advanced ICHMI applications in AdvSMRs. v prognostics is also documented. This assessment, combined wi...

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“…Examples include the use of wavelet decomposition to fuse ultrasound C-scans with optical images of barely visible impact damage in polymer-matrix composites as demonstrated by Katunin et al; or, the use of supervised and unsupervised learning techniques in fusing NDE of concrete structures as demonstrated by Cotič et al 14,15 Researchers like Dion et al and Kahrobaee have also used multimodal data fusion to improve bulk characterization of microstructure properties, such as determining the processing conditions in as-manufactured parts or the volume percent of ferrite in dual phase steels 16,17 . Yet, only recently has fusion of NDE modalities for materials characterization at the microscale been demonstrated [18][19][20][21][22] .…”

Section: The Role Of Data Fusionmentioning

confidence: 99%

Extended datasets for multi-scale mixed modality microstructure assessment of titanium

Wertz,

Cherry,

Homa

et al. 2023

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII

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The sensors used for nondestructive evaluation (NDE) play a crucial role in ensuring aircraft availability. The current NDE paradigm often relies on mono-modal testing and signal-over-threshold criteria to provide robust defect or damage detection, not characterization. This approach works for go/no-go inspections of critical flaws that respond strongly to specific physical stimuli; for example, the electromagnetic method of eddy current testing (ECT) is sensitive enough to the abrupt change in conductivity of surface-breaking cracks in metals that it can be used exclusively for certain practical safety inspections. Yet, there are cases where this approach proves insufficient. Consider characterization of problematic microtexture regions (MTR) in certain titanium alloys, which exceeds the capabilities of any one NDE technique. In this work, a data fusion-based solution to MTR characterization is explored. The material problem and potential inspection methods are discussed. Registered datasets from these methods are presented and made available to the community.

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Multi-Sensor Data Fusion for High-Resolution Material Characterization

Cited by 17 publications

References 8 publications

Local-Level Prognostics Health Management Systems Framework for Passive AdvSMR Components. Interim Report

Local-Level Prognostics Health Management Systems Framework for Passive AdvSMR Components. Interim Report

Technical Needs for Prototypic Prognostic Technique Demonstration for Advanced Small Modular Reactor Passive Components

Extended datasets for multi-scale mixed modality microstructure assessment of titanium

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