Macrobenthic assemblage characteristics under stressed waters and ecological health assessment using AMBI and M-AMBI: a case study at the Xin’an River Estuary, Yantai, China

2018 ◽  
Vol 37 (5) ◽  
pp. 77-86 ◽  
Author(s):  
Zhengquan Zhou ◽  
Xiaojing Li ◽  
Linlin Chen ◽  
Baoquan Li ◽  
Tiantian Liu ◽  
...  
Keyword(s):  
Health Assessment ◽  
River Estuary ◽  
Ecological Health ◽  
Macrobenthic Assemblage

scholarly journals Ecological health assessment of a coastal ecosystem: Case study of the largest brackish water lagoon of Asia

2019 ◽  
Vol 138 ◽  
pp. 352-363 ◽  
Author(s):  
Saroja Kumar Barik ◽  
Satyanarayan Bramha ◽  
Dibakar Behera ◽  
Tapan Kumar Bastia ◽  
Gregory Cooper ◽  
...  
Keyword(s):  
Brackish Water ◽  
Health Assessment ◽  
Coastal Ecosystem ◽  
Ecological Health

scholarly journals Formal Verification of Health Assessment Tools: a Case Study

2016 ◽  
Vol 324 ◽  
pp. 31-50 ◽  
Author(s):  
Jonas Santos Bezerra ◽  
Andrei Costa ◽  
Leila Ribeiro ◽  
Érika Cota
Keyword(s):  
Formal Verification ◽  
Health Assessment ◽  
Assessment Tools

Systematic health assessment: A case study

2004 ◽  
Vol 15 (6) ◽  
pp. 270-274 ◽  
Author(s):  
Shelley Peacock
Keyword(s):  
Health Assessment

An Effective Damage Evaluation Method for Crane Girder Based on SVI and LSSVM

2014 ◽  
Vol 602-605 ◽  
pp. 370-374
Author(s):  
Hong Bo Xu ◽  
Jia Yu Li
Keyword(s):  
Evaluation Method ◽  
Damage Identification ◽  
Health Assessment ◽  
Support Vector ◽  
Damage Evaluation ◽  
Damage Level ◽  
Variation Index ◽  
Stiffness Variation ◽  
Actual Damage

Health assessment of the girder is crucial to an overhead traveling crane. This paper presents an intelligent damage identification method for the girder based on stiffness variation index (SVI) and least squares support vector machine (LSSVM). In the method, the SVI indicators, which have high resolution to environmental noise, serve as the damage feature to detect damage locations. Moreover, the SVI indicators are input to the LSSVM classifier for identifying the actual damage level of the girder. A case study on girder damage identification demonstrates that the method could determine the actual conditions of the girder structure accurately.

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