Continuous Monitoring System of Metro Lines to Assess Long-term Behaviour of Massive Train Wheels.

2019 ◽  
Author(s):  
Elisabetta Pistone ◽  
Hanno Töll ◽  
Thomas Hauser
Keyword(s):  
Statistical Analysis ◽  
Monitoring System ◽  
Continuous Monitoring ◽  
Web Interface ◽  
Railway Network ◽  
Measuring Systems ◽  
Record Data ◽  
Underground Railway ◽  
The Impact

<p>This paper presents the results of a continuous monitoring system placed on the Metro line in Vienna, Austria, aimed at assessing the long-term behaviour of massive train wheels. Until today, conventional resilient wheels are used on Viennese metro trains. However, it is planned to substitute this type of wheels with massive wheels.</p><p>Since 2016 three train sets were therefore equipped with massive wheels and let circulate in the underground railway network under trial runs. Nine measuring systems were installed within the metro network in the form of monitoring stations to continuously record data during these train passages. Selected indicators are permanently measured, post-processed and transmitted in real time to a web-interface accessible. On the basis of approximately 2,000 daily recorded trains, statistical analysis has been performed, thus providing information on train condition and on the impact of massive wheels.</p>

Long-term structural monitoring of multi-story RC structures, based on data extracted from ambient noise and earthquake vibrations

2021 ◽  
Author(s):  
Alexandru Tiganescu ◽  
Bogdan Grecu ◽  
Iolanda-Gabriela Craifaleanu ◽  
Dragos Toma-Danila ◽  
Stefan-Florin Balan
Keyword(s):  
Monitoring System ◽  
Ambient Noise ◽  
Critical Issue ◽  
Seismic Events ◽  
Noise Sources ◽  
Rc Structures ◽  
Infrastructure Monitoring ◽  
Human Operators ◽  
The Impact

&lt;p&gt;The impact of natural hazards on structures and infrastructures is a critical issue that needs to be properly addressed by both public and private entities. To better cope with seismic hazard and to mitigate the risk, long-term multi-sensor infrastructure monitoring represents a useful tool for acquiring information on their condition and vulnerability. However, the current increasing data volume collected using sensors is not suitable to be processed with classical standalone methods. Thus, automatic algorithms and decision-making frameworks should be developed to use this data, with minimum intervention from human operators. A case-study for the application of advanced methods is focused on the headquarters of the Institute for Atomic Physics, a 11-story reinforced concrete building, located near Bucharest, Romania. The instrumentation scheme consists of accelerometers installed at the basement, at an intermediate floor and at the top of the structure. The data were continuously recorded, starting with December 2013. More than 80 seismic events with moment magnitude, M&lt;sub&gt;W&lt;/sub&gt;, larger than 3.8 were recorded during the monitoring period. The current study covers the long-term evolution and variation of dynamic parameters (one value per hour), based on both ambient noise sources and small and medium magnitude seismic events. The seasonal variation of these parameters will be determined, as well as their daily variation and the differences between values obtained from ambient noise and from earthquake-induced vibrations. Other atmospheric parameters (e.g. temperature, precipitation, wind speed) will be considered in future studies. The goal of the PREVENT project, in the framework of which the research is performed, is to collect multi-disciplinary data and to integrate them into a complex monitoring system. The current study achieved the first step, focusing on data from the seismic sensors and setting up the premises for a multi-sensor, multi-parameter, more reliable infrastructure monitoring system.&amp;#160;&amp;#160;&lt;/p&gt;

Application of the Extended Theory of Planned Behavior to Understand Holiday Purchase Intention During the COVID-19 Period

2021 ◽  
pp. 268-284
Author(s):  
Gönül Göker ◽  
Ilknur Ayar
Keyword(s):  
Statistical Analysis ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Purchase Intention ◽  
Analysis Method ◽  
Extended Theory ◽  
Statistical Analysis Method ◽  
The Impact

This study aimed to evaluate the holiday purchasing intentions of touristic consumers during the COVID-19 pandemic within the scope of the expanded TPB, which is empirically tested in very large areas in the disclosure of behaviors. In this study, in addition to TPB variables, fatigue variable was included. With the long-term nature and intensity of COVID-19, many people have naturally experienced some kind of physical or psychological fatigue. The impact of this fatigue caused by COVID-19 on the intention to buy holidays can be critical. In the first part of the study, holiday purchasing intentions, COVID-19 pandemic period, theory of planned behavior, and fatigue were explained. In the methodological part of the study, 389 people who were potential touristic consumers were surveyed. The data collected from the participants were measured by statistical analysis method, and the findings were reached.

Political connectedness and business performance: evidence from Turkish industry rankings

2015 ◽  
Vol 17 (1) ◽  
pp. 41-73 ◽  
Author(s):  
Gül Berna Özcan ◽  
Umut Gündüz
Keyword(s):  
Statistical Analysis ◽  
Political Institutions ◽  
Business Performance ◽  
Political Connections ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data ◽  
The Impact ◽  
Political Connectedness

This paper examines the degree to which political connections affect business rankings through a statistical analysis of Turkey's industry rankings between 2003 and 2011. The analysis demonstrates that business performance is associated with connectedness through industry and firm level data. We show that political connectedness varies according to the firm's channel of access to obtain favouritism either through direct personal ties or institutional networks. Ideological motivations emerge to be significant in mobilizing, shaping and tying firm behaviour to broader political agendas. In the conclusion we discuss the impact of deepening connectedness on long-term business fortunes and political institutions.

Design of a Long-Term Monitoring System for a PSC Continuous Box-Girder Bridge

2014 ◽  
Vol 619 ◽  
pp. 1-9 ◽  
Author(s):  
Chuang Chen ◽  
R. Kaloop Mosbeh ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Jun Fei Zhong
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Continuous Monitoring ◽  
Variable Cross ◽  
Box Girder ◽  
Structural Health ◽  
Box Girder Bridge ◽  
Girder Bridge

Structural Health Monitoring is becoming an increasingly common tool to obtain the long-term performance of infrastructures and buildings. Many structural health monitoring systems were developed and applied to different bridges in the world. However, very little is known on the applications in extreme cold environment. Fu Sui Bridge, a 1070 m variable cross-section continuous box-girder bridge, is located in the coldest province -- Heilongjiang province, China. In order to monitor the static and dynamic responses of the bridge under the traffic and environmental variation, a long-term continuous monitoring system was designed and installed on Fu Sui Bridge in April 2012. A hydrostatic leveling system was used to measure the displacement and fiber Bragg grating sensors were used to measure strain, acceleration and temperature. Moreover, other necessary components including data acquisition and transmission, data calculation and analysis software are also described. Summer and winter monitoring data are also presented. This paper focuses on: (1) the design and installation of the long-term continuous monitoring system hardware and (2) the operating pattern and function of the automatic monitoring system. After more than one year successful conducting, the system has provided a large amount of data records for daily management and research of the bridge. This system can be applied to extremely cold region.

scholarly journals Evaluation of the Continuous Monitoring of Land Disturbance Algorithm for Large-Scale Mangrove Classification

2021 ◽  
Vol 13 (19) ◽  
pp. 3978
Author(s):  
Katie Awty-Carroll ◽  
Pete Bunting ◽  
Andy Hardy ◽  
Gemma Bell
Keyword(s):  
Continuous Monitoring ◽  
Large Scale ◽  
Data Availability ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Land Disturbance ◽  
Long Term Monitoring ◽  
The Impact ◽  
Term Monitoring

Mangrove forests are of high biological, economic, and ecological importance globally. Growing within the intertidal zone, they are particularly vulnerable to the effects of climate change in addition to being threatened on local scales by over-exploitation and aquaculture expansion. Long-term monitoring of global mangrove populations is therefore highly important to understanding the impact of these threats. However, data availability from satellites is often limited due to cloud cover. This problem can be mitigated using a season-trend modelling approach such as Continuous Monitoring of Land Disturbance (COLD). COLD operates by using every available observation on a pixel-wise basis, removing the need for whole cloud free images. The approach can be used to better classify land cover by taking into account the underlying seasonal variability, and can also be used to extrapolate between data points to obtain more accurate long term trends. To demonstrate the utility of COLD for global mangrove monitoring, we applied it to five study sites chosen to represent a range of mangrove species, forest types, and quantities of available data. The COLD classifier was trained on the Global Mangrove Watch 2010 dataset and applied to 30 years of Landsat data for each site. By increasing the period between model updates, COLD was successfully applied to all five sites (2253 scenes) in less than four days. The method achieved an overall accuracy of 92% with a User’s accuracy of 77% and a Dice score of 0.84 for the mangrove class. The lowest User’s accuracy was for North Kalimantan (49.9%) due to confusion with mangrove palms. However, the method performed extremely well for the Niger Delta from the 2000s onwards (93.6%) despite the absence of any Landsat 5 data. Observation of trends in mangrove extent over time suggests that the method was able to accurately capture changes in extent caused by the 2014/15 mangrove die-back event in the Gulf of Carpentaria and highlighted a net loss of mangroves in the Matang Forest Reserve over the last two decades, despite ongoing management. COLD is therefore a promising methodology for global, long-term monitoring of mangrove extent and trends.

scholarly journals Earnings Management, Enterprise Scale and Enterprise Value—Research Based on Data and Statistical Analysis Tools

2021 ◽  
Vol 292 ◽  
pp. 02047
Author(s):  
Yang Mengxiao
Keyword(s):  
Statistical Analysis ◽  
Earnings Management ◽  
Firm Value ◽  
Stock Exchange ◽  
Real Earnings Management ◽  
Damage Effect ◽  
Enterprise Value ◽  
Current Value ◽  
The Impact

This paper takes China’s A-share listed companies in Shanghai and Shenzhen Stock Exchange from 2012 to 2016 as samples to analyze the impact of earnings management on current and subsequent enterprise value. It is found that real earnings management not only affects the current value, but also damages the long-term value of enterprises continuously. Further research finds that the size of the firm has a moderating effect, that is, the larger the size of the firm, the damage effect of real earnings management on the firm value is mitigated.

scholarly journals Stochastic relation between anomalous propagation in the line-of-sight VHF radio band and occurrences of earthquakes

2013 ◽  
Vol 1 (6) ◽  
pp. 6829-6848
Author(s):  
K. Motojima ◽  
N. Haga
Keyword(s):  
Statistical Analysis ◽  
Monitoring System ◽  
Line Of Sight ◽  
Radio Broadcasting ◽  
Fm Radio ◽  
Line Of Sight Propagation ◽  
Propagation Paths ◽  
Anomalous Propagation ◽  
Radio Band

Abstract. This paper was intended to find out any relation between anomalous line-of-sight propagation on the VHF band and occurrences of earthquakes near the VHF propagation paths. The television and FM radio broadcasting waves on the VHF band were monitored continuously over the long term. For that purpose, a multidirectional VHF band monitoring system was established and utilized. Anomalous line-of-sight propagation on the VHF band was distinguished from the monitored wave by using a statistical analysis. After the stochastic consideration, it was found out that earthquakes associated with anomalous propagation were characterized by magnitude of earthquakes M ≥ 4.5, and distances from epicenters L ≤ 75 km. The anomalous propagation was monitored on the VHF band a few days earlier the associated earthquakes occurred. Moreover, the anomaly appeared on multidirectional propagation paths simultaneously. The anomaly on the line-of-sight propagation indicates possibility of narrow focusing the area of epicenter of earthquake.

scholarly journals Vibration-Based Damage Identification and Condition Monitoring of Metro Trains: Warsaw Metro Case Study

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Alicja Kowalska-Koczwara ◽  
Filip Pachla ◽  
Piotr Stecz ◽  
Krzysztof Stypuła ◽  
Tadeusz Tatara ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Monitoring System ◽  
Damage Identification ◽  
Technical Condition ◽  
Vibration Monitoring ◽  
Rolling Stock ◽  
Monitoring Procedure ◽  
Time Periods ◽  
The Impact

The work concerns the monitoring of the technical condition of metro trains. For this purpose, a vibration monitoring system installed in buildings in the vicinity of the underground is used. Based on measured vibrations buildings, the identification of technical condition in metro trains is conducted. The results of measurements from the system are also used to assess the impact of vibrations on people staying in buildings through the WODL ratio. Exceeding the assumed levels of the WODL ratio is the basis for repairing trains by turning wheels. Statistical analysis of the data was implemented and trends for particular time periods of measurements were shown. With the entered monitoring system and the introduced WODL index thresholds, it is possible to better plan the costs associated with the repair and replacement of wheels of rolling stock, where there are large values of radial runout. According to the introduced monitoring procedure, the number of complaints from residents decreased and the comfort of their lives improved.

Development and Application of Continuous Atmospheric Heavy Metals Monitoring System Based on X-Ray Fluorescence

2012 ◽  
Vol 518-523 ◽  
pp. 1510-1515
Author(s):  
Hua Jun Ye ◽  
Xin Feng Liao ◽  
Sheng Liang Guo ◽  
Xue Jiao Jiang ◽  
Lin Yao ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Monitoring System ◽  
Continuous Monitoring ◽  
Weather Condition ◽  
Continuous System ◽  
Accurate Analysis ◽  
X Ray ◽  
Long Term Stability ◽  
Relative Errors

This paper presents a continuous atmospheric heavy metals monitoring system (AMMS-100) for heavy metals analysis based on X-ray fluorescence (XRF) technology. The AMMS-100 is used to collect the sample automatically with filters and then measure the concentrations of heavy metals by XRF. The accuracy of AMMS-100 for heavy metals analysis has been verified by the standard method. The relative errors, such as Pb and Fe, are lower than 10%. Moreover, the AMMS-100 can be used for long-term continuous monitoring the atmospheric heavy metals under different weather condition. The AMMS-100 described herein presents a continuous system for accurate analysis of atmospheric heavy metals with long-term stability.

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