Skip to main navigation
Skip to search
Skip to main content
Pure University (For Demo Only) Home
Help & FAQ
English
中文
Home
Profiles
Research units
Research output
Equipment
Datasets
Activities
Prizes
Impacts
Projects
Press/Media
Search by expertise, name or affiliation
Neuro-fuzzy approaches for pipeline condition assessment
S. Kumar,
F. Taheri
Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Neuro-fuzzy approaches for pipeline condition assessment'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Computing Technology
50%
Defects in Metals
50%
Degradation Evaluation
50%
Electronic Transducer
50%
Inspection Technology
50%
Interpretation System
100%
Maintenance Stage
100%
Manufacturing Stage
100%
Neuro-fuzzy Approach
100%
Pipeline Condition Assessment
100%
Pipes & pipelines
50%
Sewer Gas
50%
Sewer pipe
50%
Transducer Technology
50%
Ultrasonic C-scan
50%
Underground Facilities
50%
Underground Structure
50%
Water Immersion
50%
Engineering
Condition Assessment
100%
Damage Condition
33%
Inspection Technology
33%
Manufacturing Stage
33%
Underground Structures
33%