Considerations for Quantitative NDE and NDE Reliability Improvement

Rummel, Ward D.

doi:10.1007/978-1-4613-3706-5_2

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…POD is a well established measure of inspection performance that is directly related to important issues such as the frequency and quality of inspections, accept-reject criteria, cost of failure and repair, etc. [5]. Mathematically, POD can be expressed as the integral of a conditional probability.…”

Section: Probability Of Detection Modelsmentioning

confidence: 99%

NDE and Design — A Unified Life-Cycle Engineering Approach

Schmerr

Thompson

1993

Review of Progress in Quantitative Nondestructive Evaluation

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INTRODUCfIONUnified life-cycle engineering (ULCE) is an approach that combines aspects of concurrent engineering, total quality management, and retirement-for-cause (RFC) strategies at the early design stage of components [1][2][3]. In order to implement ULCE approaches, inspectability, reliability, and the other "ilities" of Fig. 1 must be linked to areas such as qUality assurance, life-cycle costs, and materials and processes in a comprehensive design environment.NDE models can provide one of the key ingredients for the design environment of Fig. 1 because of their ability to be used for in-process control of important parameters in the manufacturing process, their role in process automation, and the ability of such models to consider in-service issues. Such models are also the foundation for other models involving reliability, life-cycle costs, etc.Recently, significant progress has been made in establishing such NDE models as well as building the other links of Fig. 1 through the joint National Institute of Standards and Technology/Iowa State University/Northwestern University program in Integrated Design, NDE, and the Manufacturing Sciences. Here, we will describe the types of NDE and reliability models that have been built in the program and how they fit with the other ULCE elements shown in Fig. 1 to produce a new engineering technology for incorporating inspectability into a concurrent engineering design process. NDE MEASUREMENT MODELSOne of the major accomplishments of the NIST/ISU/NU program has been the development of comprehensive models of NDE inspections and the integration of those models into the design environment. These models are all based on the fundamental physics of these NDE measurement processes, so we refer to the models as NDE measurement models.

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Section: Probability Of Detection Modelsmentioning

confidence: 99%

NDE and Design — A Unified Life-Cycle Engineering Approach

Schmerr

Thompson

1993

Review of Progress in Quantitative Nondestructive Evaluation

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“…Nondestructive evaluation (NDE) methods (Bray and Stanley, 1996;Shull, 2002;Heller, 2012) are used to examine and characterize materials and detect flaws in components without causing them irreversible damage. Different physical principles (Rummel, 1983;Silk et al, 1987;Bray and McBride, 1992) guide different NDE techniques, providing methods based on radiography (Halmshaw, 1982(Halmshaw, , 1991, ultrasound (Krautkramer and Krautkramer, 1990), eddy-currents (Kahn et al, 1977;Collins et al, 1985;Yang et al, 2010), radiology (Martz et al, 2002), active thermography (Spicer and Osiander, 2002), acoustic emissions (Prosser, 2002), magnetic particles (Lindgren et al, 2002), liquid penetrants (Halmshaw, 1991) and other techniques (Shull, 2002;Heller, 2012). One of the primary purposes of NDE is to detect flaws in critical system components.…”

Section: Introductionmentioning

confidence: 99%

“…There is substantial and long-standing interest in the development of statistical methodology and algorithms for the analysis of NDE data (e.g., see Berens and Hovey, 1981, 1982, 1983, 1984Gray and Thompson, 1986;Annis and Erland, 1989;Burkel et al, 1996;Hovey and Berens, 1988;Perdijon, 1988aPerdijon, ,b, 1989Neal and Speckman, 1993;Howard and Gilmore, 1994;Sweeting, 1995;Spencer and Schurman, 1995;Olin and Meeker, 1996;Howard et al, 1998;Aoki and Suga, 1999;Zaki et al, 2001;Legendre et al, 2001;Meyer and Candy, 2002;Zavaljevski et al, 2005;Dogandzic and Zhang, 2007;Hasanzadeh et al, 2008;Li et al, 2010;Gao and Meeker, 2012;Ng et al, 2013). Much of the NDE literature has revolved around the issues of noise reduction and comcomitant increased signal-to-noise ratio (SNR) and development of methodologies (e.g., development of wavelet methods, expectation-maximization algorithm-type methods) for better estimating the extent and probability of detection (POD) of a flaw in different techniques.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Framework for Improved Automatic Flaw Detection in Nondestructive Evaluation Images

et al. 2017

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Nondestructive evaluation (NDE) techniques are widely used to detect flaws in critical components of systems like aircraft engines, nuclear power plants and oil pipelines in order to prevent catastrophic events. Many modern NDE systems generate image data. In some applications an experienced inspector performs the tedious task of visually examining every image to provide accurate conclusions about the existence of flaws. This approach is labor-intensive and can cause misses due to operator ennui. Automated evaluation methods seek to eliminate human-factors variability and improve throughput. Simple methods based on peak amplitude in an image are sometimes employed and a trained-operator-controlled refinement that uses a dynamic threshold based on signal-to-noise ratio (SNR) has also been implemented. We develop an automated and optimized detection procedure that mimics these operations. The primary goal of our methodology is to reduce the number of images requiring expert visual evaluation by filtering out images that are overwhelmingly definitive on the existence or absence of a flaw. We use an appropriate model for the observed values of the SNR-detection criterion to estimate the probability of detection. Our methodology outperforms current methods in terms of its ability to detect flaws.

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“…The reliability of flaw detection is receiving increasing attention in a number of industries, including nuclear power [9] and aerospace [39,40]. The construction of major systems are often accompanied by costly demonstration programs to ensure that the reliability of nondestructive testing is adequate.…”

Section: Advanced Techniques For Detecting and Sizing Flawsmentioning

confidence: 99%

Quantitative Ultrasonic Nondestructive Evaluation Methods

Thompson

1983

Journal of Applied Mechanics

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Quantitative ultrasonic techniques for determining the serviceability of structural components are reviewed. Particular emphasis is placed on the use of forward and inverse elastic wave scattering theory as a fundamental foundation for predicting such engineering parameters as the probability of flaw detection and for developing improved techniques for flaw sizing. Ultrasonic measurement techniques for the determination of distributed failure-related properties such as residual stresses are discussed, and the status of the prediction of failure by the detection of acoustic emission precursors is reviewed.

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Considerations for Quantitative NDE and NDE Reliability Improvement

Cited by 8 publications

References 2 publications

NDE and Design — A Unified Life-Cycle Engineering Approach

NDE and Design — A Unified Life-Cycle Engineering Approach

A Statistical Framework for Improved Automatic Flaw Detection in Nondestructive Evaluation Images

Quantitative Ultrasonic Nondestructive Evaluation Methods

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