Models of Reliability Assessment of Ultrasonic Nondestructive Inspection
I.K. Park, U.S. Park, H.M. Kim, Y.W. Park, Seong-Seung Kang, Yang-Gyu Choi, J.H. Lee
Abstract
I.K. Park, U.S. Park, H.M. Kim, Y.W. Park, Seong-Seung Kang, Yang-Gyu Choi, J.H. Lee
Abstract
Ultrasonic inspection system consist of the operator, equipment and procedure. The reliability of results in ultrasonic inspection is affected by its ability. Furthermore, the reliability of nondestructive testing is influenced by the inspection environment, materials and types of defect. Therefore, it is very difficult to estimate the reliability of NDT due to the various factors. In this study, the probability of detection by logistic probability model and Monte Carlo simulation is used for the reliability assessment of ultrasonic inspection. The utility of the NDT reliability assesment is verified by the analysis of the data from round robin test nth these models.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Ultrasonic inspection system consist of the operator, equipment and procedure. The reliability of results in ultrasonic inspection is affected by its ability. Furthermore, the reliability of nondestructive testing is influenced by the inspection environment, materials and types of defect. Therefore, it is very difficult to estimate the reliability of NDT due to the various factors. In this study, the probability of detection by logistic probability model and Monte Carlo simulation is used for the reliability assessment of ultrasonic inspection. The utility of the NDT reliability assesment is verified by the analysis of the data from round robin test nth these models.
Key concepts: Nondestructive testing, Reliability (semiconductor), Ultrasonic testing, Reliability engineering, Ultrasonic sensor, Monte Carlo method, Engineering, Computer science