scholarly journals A resilient condition assessment monitoring system

2012 ◽  
Author(s):  
Humberto E. Garcia ◽  
Wen-Chiao Lin ◽  
Semyon M. Meerkov
Keyword(s):  
Monitoring System ◽  
Condition Assessment

scholarly journals Establishment and Application of the Wind and Structural Health Monitoring System for the Runyang Yangtze River Bridge

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Hao Wang ◽  
Aiqun Li ◽  
Tong Guo ◽  
Tianyou Tao
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Yangtze River ◽  
Model Updating ◽  
Structural Condition ◽  
Condition Assessment ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

Structural health monitoring can provide a practical platform for detecting the evolution of structural damage or performance deterioration of engineering structures. The final objective is to provide reasonable suggestions for structural maintenance and management and therefore ensure the structural safety according to the real-time recorded data. In this paper, the establishment of the wind and structural health monitoring system (WSHMS) implemented on the Runyang Yangtze River Bridge (RYRB) in China is introduced. The composition and functions of the WSHMS are presented. Thereinto, the sensory subsystem utilized to measure the input actions and structural output responses is introduced. And the core functions of the data management and analysis subsystem (DMAS) including model updating, structural condition identification, and structural condition assessment are illustrated in detail. A three-stage strategy is applied into the FE model updating of RYRB, and a two-phase strategy is proposed to adapt to structural health diagnosis and damage identification. Considering the structural integral security and the fatigue characteristic of steel material, the condition assessment of RYRB is divided into structural reliability assessment and structural fatigue assessment, which are equipped with specific and elaborate module for effective operation. This research can provide references for the establishment of the similar structural health monitoring systems on other cable-supported bridges.

Multisensor Fusion Using Fuzzy Logic for an Integrated Smart Health Monitoring System

2004 ◽  
Author(s):  
Amit Mohanty ◽  
Chris Leach ◽  
Ajay Mahajan
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
Monitoring System ◽  
Health Monitoring ◽  
Measurement Data ◽  
Condition Assessment ◽  
Fusion System ◽  
Multisensor Fusion ◽  
Health Monitoring System ◽  
Smart Health

This paper presents a generic model for an integrated smart health monitoring system for infrastructures using multisensor fusion and condition assessment sheets. Though various techniques for health monitoring have been discussed extensively in the literature, little attention has been given to obtain high quality data from the measurement and sensing system by using an intrinsic knowledge base. The method proposed in this paper uses measurement data from different types of sensors with different resolutions and fuses it together based on the confidence in them derived from information not typically used in traditional data fusion methods. Examples of such information are operating temperature, frequency range, fatigue cycles, etc. These are fed as additional inputs to a fuzzy inference system (FIS) that has predefined membership functions for each of these variables. The outputs of the FIS are weights that are assigned to the different sensor measurement data that reflect the confidence in the sensor’s behavior and performance. A modular approach is adopted for the data fusion system. It allows adding or deleting a sensor, along with its fuzzy logic controller (FLC), anytime without affecting the entire data fusion system. The time history of problems and solutions taken to correct them are stored as a condition assessment sheet (CAS) that shows the health of each sensor and the entire measurement system at a glance. This work finds applications in the health management of civil infrastructures, power plants, airplanes and rocket/shuttle test facilities.

Intelligent condition assessment of industry machinery using multiple type of signal from monitoring system

Measurement ◽  
2020 ◽  
Vol 149 ◽  
pp. 107018 ◽  
Author(s):  
Aijun Hu ◽  
Zerui Bai ◽  
Jianfeng Lin ◽  
Ling Xiang
Keyword(s):  
Monitoring System ◽  
Condition Assessment ◽  
Multiple Type

scholarly journals Development of a Structural Monitoring System for Cable Bridges by Using Seismic Accelerometers

2020 ◽  
Vol 10 (2) ◽  
pp. 716
Author(s):  
Seong-Hoon Jeong ◽  
Won-Seok Jang ◽  
Jin-Won Nam ◽  
Hohyun An ◽  
Dae-Jin Kim
Keyword(s):  
Monitoring System ◽  
Structural Condition ◽  
Condition Assessment ◽  
Structural Safety ◽  
Noise Filtering ◽  
Test Bed ◽  
Limit States ◽  
Raw Data ◽  
Structural Health ◽  
Condition Evaluation

In this study, a structural health monitoring system for cable-stayed bridges is developed. In the system, condition assessment of the structure is performed based on measured records from seismic accelerometers. Response indices are defined to monitor structural safety and serviceability and derived from the measured acceleration data. The derivation process of the indices is structured to follow the transformation from the raw data to the final outcome. The process includes, noise filtering, baseline correction, numerical integration, and calculation of relative differences. The system is packed as a condition assessment program, which consists of four major process of the structural health evaluation: (i) format conversion of the raw data, (ii) noise filtering, (iii) generation of response indices, and (iv) condition evaluation. An example set of limit states is presented to evaluate the structural condition of the test-bed cable-stayed bridge.

Strain-Based Condition Assessment of a Suspension Bridge Instrumented with Structural Health Monitoring System

2016 ◽  
Vol 16 (04) ◽  
pp. 1640027 ◽  
Author(s):  
Yi-Qing Ni ◽  
Yun-Xia Xia
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Limit State ◽  
Condition Assessment ◽  
Structural Members ◽  
Structural Components ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

Strain provides information about local behavior of structural components, and is one of the most concerned parameters in the structural health monitoring (SHM) of civil structures. It plays an important role in the condition assessment of bridges in terms of fatigue or yielding of the structural material, safety reserve or reliability of structural components, etc. The Wind And Structural Health Monitoring System (WASHMS) deployed on the suspension Tsing Ma Bridge (TMB) in Hong Kong has hitherto operated continuously for 17 years. As part of the WASHMS, 110 strain gauges were installed on the bridge to measure the dynamic strain response of the TMB. Based on the strain measurement data acquired in 2012, the structural condition of the TMB is evaluated by addressing the following issues: (1) Evaluation of the characteristics of stress responses in structural members on different deck cross-sections and comparison with the results obtained in 1999. (2) Statistical analysis of daily maximum stresses in different members and comparison with the design values (designated stresses) due to live loads at both serviceability limit state (SLS) and ultimate limit state (ULS). (3) Evaluation of the inner forces of monitored structural members and the corresponding strength utilization factors (SUFs). The assessment results obtained in the present study can be used as a reference or guideline for scheduling the bridge inspection and maintenance activities.

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