Classification of weld defects based on the analytical hierarchy process and Dempster–Shafer evidence theory
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Classification of weld defects based on the analytical hierarchy process and Dempster–Shafer evidence theory
Authors
Keywords
Radiographic testing, Classification, Analytical hierarchy process (AHP), Dempster–Shafer (DS) Evidence theory
Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-10-26
DOI
10.1007/s10845-017-1369-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An improved feature extraction algorithm for automatic defect identification based on eddy current pulsed thermography
- (2017) Peipei Zhu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An alternative aggregation method for a life cycle impact assessment using an analytical hierarchy process
- (2016) Che Hafizan et al. JOURNAL OF CLEANER PRODUCTION
- Defect inspection of solder bumps using the scanning acoustic microscopy and fuzzy SVM algorithm
- (2016) Mengying Fan et al. MICROELECTRONICS RELIABILITY
- Classification of weld defect based on information fusion technology for radiographic testing system
- (2016) Hongquan Jiang et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM
- (2015) Deyong You et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Using empirical mode decomposition and a fuzzy algorithm for the analysis of weld defect images
- (2015) A Movafeghi INSIGHT
- Real-time X-ray radiography for defect detection in submerged arc welding and segmentation using sparse signal representation
- (2014) Weixin Gao et al. INSIGHT
- Automatic classification approach to weld defects based on PCA and SVM
- (2013) Weilei Mu et al. INSIGHT
- Fusion-based shape descriptor for weld defect radiographic image retrieval
- (2013) Nafaa Nacereddine et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Automatic weld defect identification from radiographic images
- (2013) O. Zahran et al. NDT & E INTERNATIONAL
- Automatic defect identification using thermal image analysis for online weld quality monitoring
- (2012) U. Sreedhar et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Fault Detection and Classification in Plasma Etch Equipment for Semiconductor Manufacturing $e$-Diagnostics
- (2011) Sang Jeen Hong et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- A classification method of glass defect based on multiresolution and information fusion
- (2011) Huai-guang Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Automatic Inspection System of Welding Radiographic Images Based on ANN Under a Regularisation Process
- (2011) Juan Zapata et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
- Automatic classification of weld defects in radiographic images
- (2010) Qingming Shen et al. INSIGHT
- Improving the classification accuracy of the weld defect by chaos-search-based feature selection
- (2010) Qingming Shen et al. INSIGHT
- An adaptive-network-based fuzzy inference system for classification of welding defects
- (2009) Juan Zapata et al. NDT & E INTERNATIONAL
- Applying wavelets transform, rough set theory and support vector machine for copper clad laminate defects classification
- (2008) Te-Sheng Li EXPERT SYSTEMS WITH APPLICATIONS
- Improving the accuracy of computer-aided radiographic weld inspection by feature selection
- (2008) T. Warren Liao NDT & E INTERNATIONAL
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation