Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes-Reference-Cited by-同舟云学术

Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes

Published:2019-09 Issue: Volume:131 Page:524-537
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Sen Debarshi,Aghazadeh Amirali,Mousavi Ali,Nagarajaiah Satish^ORCID,Baraniuk Richard,Dabak Anand

Funder

Texas Instruments

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference27 articles.

1. An introduction to structural health monitoring;Farrar;Philos. Trans. R. Soc. A,2007

2. Vibration Based Inspection of Civil Engineering Structures;Rytter,1993

3. cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure;Restrepo;Int. J. Crit. Infrastruct. Prot.,2009

4. Ultrasonic inspection of long steel pipes using lamb waves;Park;NDT & E Int.,1996

5. Defect detection in pipes using guided waves;Lowe;Ultrasonics,1998

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