Carbon Nanotube Appliques for Fatigue Crack Diagnostics

Thomas, Gregory Owen; Borgen, Michael; Dunn, Christopher T.

doi:10.12783/shm2015/207

Cited by 2 publications

(2 citation statements)

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“…They monitored the crack evolution with a carbon nanotube (CNT) sensor, which have a great potential for aerospace applications. 141 A recent study, using the methodology proposed by Meeker, 49 made use of a Bayesian approach to derive POD curves for different case studies. 142 Typically, in the majority of the SHM systems based on ultrasound techniques, the relationship between the damage index and the damage size is not linear, which goes against the assumption made by Meeker.…”

Section: Comparison Between Length At Detection and Random Effects Mo...mentioning

confidence: 99%

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Falcetelli

Yue

Sante

et al. 2021

Structural Health Monitoring

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The successful implementation of Structural Health Monitoring (SHM) systems is confined to the capability of evaluating their performance, reliability, and durability. Although there are many SHM techniques capable of detecting, locating and quantifying damage in several types of structures, their certification process is still limited. Despite the effort of academia and industry in defining methodologies for the performance assessment of such systems in recent years, many challenges remain to be solved. Methodologies used in Non-Destructive Evaluation (NDE) have been taken as a starting point to develop the required metrics for SHM, such as Probability of Detection (POD) curves. However, the transposition of such methodologies to SHM is anything but straightforward because additional factors should be considered. The time dependency of the data, the larger amount of variability sources and the complexity of the structures to be monitored exacerbate/aggravate the existing challenges, suggesting that much work has still to be done in SHM. The article focuses on the current challenges and barriers preventing the development of proper reliability metrics for SHM, analyzing the main differences with respect to POD methodologies for NDE. It was found that the development of POD curves for SHM systems requires a higher level of statistical expertise and their use in the literature is still limited to few studies. Finally, the discussion extends beyond POD curves towards new metrics such as Probability of Localization (POL) and Probability of Sizing (POS) curves, reflecting the diagnosis paradigm of SHM.

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Section: Comparison Between Length At Detection and Random Effects Mo...mentioning

confidence: 99%

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Falcetelli

Yue

Sante

et al. 2021

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…Resistance was measured every 1000 cycles in the unloaded condition, and crack length was estimated by simply solving the prior equation for crack length using a known relationship between crack length and resistance. More details about CNT sensors and the experiment are given in Kessler et al (2015) and Kessler and Dunn (2019). These data will be analyzed using both methods in Section 6.…”

Section: An Shm Pod Study Based On Carbon Nanotube (Cnt) Sensorsmentioning

confidence: 99%

Statistical Methods for Probability of Detection in Structural Health Monitoring

Meeker¹,

Roach²

2019

Structural Health Monitoring 2019

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There is much interest in the potential to use Structural Health Monitoring (SHM) technology to augment traditional Nondestructive Evaluation (NDE) methods to improve safety, increase asset availability, and reduce maintenance and inspection costs. SHM has the potential to be used in many areas of application including critical components in aircraft and pipelines. Probability of detection (POD) plays a critical role in aircraft structural integrity programs. As such, there has been a high interest in developing methods that can be used to assess POD in SHM applications. In contrast to traditional NDE laboratory experiments to assess POD that involve a set of specimens with cracks, SHM sensors are fixed and SHM data are acquired over time as cracks grow or otherwise evolve. Traditional statistical methods for assessing POD (e.g., as described in MIL-HDBK 1823A 2009) have to be extended to properly handle repeated-measures data. This purpose of this paper is to review the basic statistical concepts of probability of detection (POD) and to show how these concepts can and should be applied to SHM POD studies by modifying and extending existing methods for estimating POD. The methods presented here are applicable when there is a scalar damage index or other response that will be used to make a detect decision. The paper compares a simple model based on length at detection and a random effects model to describe repeated measures data.

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Carbon Nanotube Appliques for Fatigue Crack Diagnostics

Cited by 2 publications

References 1 publication

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring

Statistical Methods for Probability of Detection in Structural Health Monitoring

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