scholarly journals Decentralized Structural Diagnosis and Monitoring System for Ensemble Learning on Dynamic Characteristics

Author(s):  
Yoon-Soo Shin ◽  
Kyung-Won Min
Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 681 ◽  
Author(s):  
Huiru Cao ◽  
Zhongwei Guo ◽  
Shian Wang ◽  
Haixiu Cheng ◽  
Choujun Zhan

Water environment pollution is an acute problem, especially in developing countries, so water quality monitoring is crucial for water protection. This paper presents an intelligent three-dimensional wide-area water quality monitoring and online analysis system. The proposed system is composed of an automatic cruise intelligent unmanned surface vehicle (USV), a water quality monitoring system (WQMS), and a water quality analysis algorithm. An automatic positioning cruising system is constructed for the USV. The WQMS consists of a series of low-power water quality detecting sensors and a lifting device that can collect the water quality monitoring data at different water depths. These data are analyzed by the proposed water quality analysis algorithm based on the ensemble learning method to estimate the water quality level. Then, a real experiment is conducted in a lake to verify the feasibility of the proposed design. The experimental results obtained in real application demonstrate good performance and feasibility of the proposed monitoring system.


2012 ◽  
Vol 184-185 ◽  
pp. 715-718 ◽  
Author(s):  
Yi Li ◽  
Zhong Guo ◽  
Hua Wei

In bridge structural health monitoring, random vibration test and monitoring bridge dynamic characteristics provides an effective method for evaluation of bridge safety and serviceability performance. Piezoelectric accelerometer overcome the draw backs of the traditional sensor characteristic measuring instrument which are functional singleness and monopoly used, a piezoelectricity acceleration sensor performance analysis and dynamic characteristics monitoring system base on a tied arch bridge health monitoring system was designed, and the hardware structure and software of the system were introduced, acquired vibration signal can be displayed, stored, analyzed and processed in real time. The vibration frequency of the bridge structure, mode shapes and damping ratio is calculated base on the monitoring data, and the amplitude of frequency domain shows that the system was validated in actual real-time monitoring of bridge dynamic characteristics.


2018 ◽  
Vol 38 (11) ◽  
pp. 876-878
Author(s):  
G. M. Trompet ◽  
S. V. Butakov ◽  
N. K. Kazantseva ◽  
V. A. Aleksandrov ◽  
A. S. Bubkin

Author(s):  
Я. Ш. Шамсадова ◽  
А. А. Игнатьев ◽  
М. Р. Исаева ◽  
Х. Р. Визирова

В данной статье приведены данные об экспериментальных исследованиях динамических характеристик и испытаний станков, что позволяет получить важные результаты для анализа виброакустических колебаний, возникающих в основных формообразующих узлах, для идентификации и диагностирования. В качестве практической реализации элементов автоматизированной системы научных исследований можно привести комплекс автоматизированных измерительных средств, применяемых в системе мониторинга технологического процесса изготовления деталей подшипников. This article presents data on experimental studies of dynamic characteristics and tests of machines, which allows us to obtain important results for the analysis of vibroacoustic vibrations that occur in the main forming nodes, for identification and diagnosis. As a practical implementation of the elements of an automated system of scientific research, we can cite a set of automated measuring tools used in monitoring the technological process of manufacturing bearing parts.


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