Volume CT Data Inspection and Deep Learning Based Anomaly Detection for Turbine Blade
Main Author: | Wang, Kan |
---|---|
Language: | English |
Published: |
University of Cincinnati / OhioLINK
2017
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504869009850912 |
Similar Items
-
On the Choice of Concrete Strength Inspection Methods of Ready-built Structures
by: A.V. Ulybin
Published: (2011-06-01) -
Anomaly Detection Using Autoencoder With Feature Vector Frequency Map
by: Young-Gyu Kim, et al.
Published: (2021-01-01) -
Development of laser ultrasonic and interferometric inspection system for high-volume on-line inspection of microelectronic devices
by: Valdes, Abel
Published: (2009) -
Flagging Implausible Inspection Reports of Distribution Transformers via Anomaly Detection
by: Bin Xiang, et al.
Published: (2020-01-01) -
Benchmarking Deep Learning Models for Automatic Ultrasonic Imaging Inspection
by: Jiaxing Ye, et al.
Published: (2021-01-01)