Data Mining and Equi-Accident Zones for US Pipeline Accidents-Reference-Cited by-同舟云学术

Data Mining and Equi-Accident Zones for US Pipeline Accidents

Published:2018-11 Issue:4 Volume:9 Page:04018019
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Naik Dayakar L.¹,Kiran Ravi²

Affiliation:

1. Research Associate, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58105.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58105 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000340

Reference50 articles.

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2. Health Monitoring of Structural Materials and Components

3. An D. 2013. “Options for prognostics methods: A review of data-driven and physics-based prognostics.” In Proc. 54th AIAA/ASME/ASCE/AHS/ASC Structures Structural Dynamics and Materials Conf. 1–19. Reston VA: American Institute of Aeronautics and Astronautics .

4. Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

5. Barthorpe R. J. K. Worden C. Surace and G. Demarie. 2009. “A comparative study of approaches to damage detection.” In Proc. 19th Congresso AIMETA. Ancona Italy: Associazione Italiana di Meccanica Teorica e Applicata.

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