Statistical Damage Classification Under Changing Environmental and Operational Conditions

Article Properties

Language

English
DOI (url)

10.1106/104538902030904
Publication Date

2002/09/01
Journal

Journal of Intelligent Material Systems and Structures
Indian UGC (Journal)
Refrences

29
Citations

166
Hoon Sohn Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545, USA,
Keith Worden Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
Charles R. Farrar Los Alamos National Laboratory, MS T006, Los Alamos, NM 87545, USA

Abstract

Cite

Sohn, Hoon, et al. “Statistical Damage Classification Under Changing Environmental and Operational Conditions”. Journal of Intelligent Material Systems and Structures, vol. 13, no. 9, 2002, pp. 561-74, https://doi.org/10.1106/104538902030904.

Sohn, H., Worden, K., & Farrar, C. R. (2002). Statistical Damage Classification Under Changing Environmental and Operational Conditions. Journal of Intelligent Material Systems and Structures, 13(9), 561-574. https://doi.org/10.1106/104538902030904

Sohn H, Worden K, Farrar CR. Statistical Damage Classification Under Changing Environmental and Operational Conditions. Journal of Intelligent Material Systems and Structures. 2002;13(9):561-74.

Journal Categories

Science

Chemistry

Technology

Electrical engineering

Electronics

Nuclear engineering

Materials of engineering and construction

Mechanics of materials

Refrences

Citations

Citations Analysis

Category	Category Repetition
Technology: Engineering (General). Civil engineering (General)	124
Technology: Mechanical engineering and machinery	49
Science: Mathematics: Instruments and machines	38
Science: Chemistry	20
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials	15

The first research to cite this article was titled Structural Health Monitoring Using Modular Wireless Sensors and was published in 2003. The most recent citation comes from a 2024 study titled Structural Health Monitoring Using Modular Wireless Sensors . This article reached its peak citation in 2017 , with 20 citations.It has been cited in 76 different journals, 17% of which are open access. Among related journals, the Mechanical Systems and Signal Processing cited this research the most, with 23 citations. The chart below illustrates the annual citation trends for this article.