Probability of detection of minute defects by ultrasonic automated testing equipment in view of Bayesian inference

2016 ◽  
Vol 58 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Alex Leybovich
Keyword(s):  
Bayesian Inference ◽  
Probability Of Detection ◽  
Testing Equipment ◽  
Automated Testing

A Probabilistic Environmentally Assisted Cracking Model for Steam Generator Tubes

2014 ◽  
Vol 137 (2) ◽  
Author(s):  
Tae Hyun Lee ◽  
Jae Young Yoon ◽  
Hyo On Nam ◽  
Il Soon Hwang
Keyword(s):  
Bayesian Inference ◽  
Stress Distribution ◽  
Size Distribution ◽  
Steam Generator ◽  
Crack Size ◽  
Initial Crack ◽  
Probability Of Detection ◽  
Alloy 600 ◽  
Pressurized Water ◽  
Environmentally Assisted Cracking

A probabilistic environmentally assisted cracking (PEAC) model was developed to describe the propagation of primary water stress corrosion cracking for Alloy 600 in roll-transition region of steam generator (SG), a severe environmentally assisted cracking problem in pressurized water reactors (PWRs). In the PEAC model, crack growth rate (CGR) and probability of failure (POF) were obtained by adopting a Bayesian inference that decreases the uncertainties of unknown parameters and their distributions in theoretical equations. The CGR is mainly dependent on three factors: probability of detection (POD), initial crack size distribution, and stress distribution. The POD, which is a logistic link was updated with Bayesian inference based on SG inspection data. The crack size distribution, which is relative to initiation time expressed by a Weibull function, was also updated with Bayesian inference using POD. The stress distribution caused by mechanical rolling is considered to be a major contributing factor along the SG tube. It based on finite element analysis is deterministic model unlike POD and initial crack distribution. According to this model, the uncertainty of hyperparameters in the CGR which are parameters of a prior distribution was reduced, and the appropriate level of confidence was achieved by utilizing the available data. Moreover, a benchmark study for the SG tube was performed to evaluate reliability of Alloy 600 SG components in nuclear power plants. The POF was estimated from the developed PEAC model and failure criteria by taking into account the effects of inspection and repair of defective tubes. The results from this study are applied to demonstrate risk reduction in PWRs by adopting risk-informed in-service inspection.

scholarly journals Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment

Data in Brief ◽  
2021 ◽  
pp. 107085
Author(s):  
Francisco Mesquita ◽  
Steve Bucknell ◽  
Yann Leray ◽  
Stepan V. Lomov ◽  
Yentl Swolfs
Keyword(s):  
Mechanical Properties ◽  
Glass Fibre ◽  
Large Datasets ◽  
Testing Equipment ◽  
Automated Testing

Discussion on “Production testing equipment” at the Birmingham Section of the Institution

1932 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
R.H. Youngash ◽  
E.W. Field ◽  
I.H. Wright ◽  
J.H. Garnett ◽  
H.C. Armitage ◽  
...  
Keyword(s):  
Testing Equipment ◽  
Production Testing

Probabilistic evaluation of detection capability of eddy current testing to inspect pitting on a stainless steel clad using multiple signal features

2020 ◽  
Vol 64 (1-4) ◽  
pp. 47-55
Author(s):  
Takuma Tomizawa ◽  
Haicheng Song ◽  
Noritaka Yusa
Keyword(s):  
Stainless Steel ◽  
Eddy Current ◽  
Pressure Vessels ◽  
Eddy Current Testing ◽  
Probability Of Detection ◽  
Current Testing ◽  
Multiple Signal ◽  
Signal Features ◽  
Inner Surface ◽  
Drill Holes

This study proposes a probability of detection (POD) model to quantitatively evaluate the capability of eddy current testing to detect flaws on the inner surface of pressure vessels cladded by stainless steel and in the presence of high noise level. Welded plate samples with drill holes were prepared to simulate corrosion that typically appears on the inner surface of large-scale pressure vessels. The signals generated by the drill holes and the noise caused by the weld were examined using eddy current testing. A hit/miss-based POD model with multiple flaw parameters and multiple signal features was proposed to analyze the measured signals. It is shown that the proposed model is able to more reasonably characterize the detectability of eddy current signals compared to conventional models that consider a single signal feature.

Sign in / Sign up

Export Citation Format

Share Document