scholarly journals Editorial: Best Practices on Advanced Condition Monitoring of Rail Infrastructure Systems, Volume II

2021 ◽  
Vol 7 ◽  
Author(s):  
Stefano Bruni ◽  
Serdar Dindar ◽  
Sakdirat Kaewunruen
Author(s):  
Shengrun Shi ◽  
Zhiyuan Han ◽  
Zipeng Liu ◽  
Patrick Vallely ◽  
Slim Soua ◽  
...  

Structural degradation of rails will unavoidably take place with time due to cyclic bending stresses, rolling contact fatigue, impact and environmental degradation. Rail infrastructure managers employ a variety of techniques and equipment to inspect rails. Still tens of rail failures are detected every year on all major rail networks. Inspection of the rail network is normally carried out at night time, when normal traffic has ceased. As the implementation of the 24-h railway moves forward to address the increasing demand for rail transport, conventional inspection processes will become more difficult to implement. Therefore, there is an obvious need to gradually replace outdated inspection methodologies with more efficient remote condition monitoring technology. The remote condition monitoring techniques employed should be able to detect and evaluate defects without causing any reduction in the optimum rail infrastructure availability. Acoustic emission is a passive remote condition monitoring technique which can be employed for the quantitative evaluation of the structural integrity of rails. Acoustic emission sensors can be easily installed on rails in order to monitor the structural degradation rate in real time. Therefore, apart from detecting defects, acoustic emission can be realistically applied to quantify damage. In this study, the authors investigated the performance of acoustic emission in detecting and quantifying damage in rail steel samples subjected to cyclic fatigue loads during experiments carried out under laboratory conditions. Herewith, the key results obtained are presented together with a detailed discussion of the approach employed in filtering noise sources during data acquisition and subsequent signal processing.


Proceedings ◽  
2018 ◽  
Vol 2 (16) ◽  
pp. 1138
Author(s):  
Milan Omasta ◽  
Sakdirat Kaewunruen

Social and economic growth, security and sustainability around the globe are at risk of being compromised due to aging and failing railway infrastructure systems. [...]


2019 ◽  
Vol 17 (1) ◽  
pp. 204-217 ◽  
Author(s):  
Koorosh Gharehbaghi ◽  
Kerry McManus

Purpose The purpose of this paper is to provide an overview of condition monitoring using artificial neural network (ANN) integration as a part of transportation infrastructure systems. Design/methodology/approach This paper will review the concept of ANNs and its core functions for the optimization (to manage the asset in such a way that the condition does not fall below an acceptable minimum condition) of transportation infrastructure systems, in particular, the maintenance processes. In doing so, a specific and factual example of performance and condition measurement for roads will be also instigated. Findings This paper demonstrated that ANN has many advantages if the problems cannot be solved by the clear algorithm. In addition, ANN has the ability to be instructed to handle large data set. There are various intelligent algorithms available and accordingly ANN is not a new concept. However, the ANN’s overall ability to solve complex and interchangeable system problems (such as one, which is found within the transportation infrastructure systems) is its core advantage. Originality/value Although condition monitoring using ANN integration has been researched extensively, this paper provides additional example of integrated ANN for transportation infrastructure systems.


Author(s):  
N.L. Fantana

<p>In recent years there has been an increase in the availability of on-line condition monitoring devices and systems and of monitoring installations in utility networks. Their installation is judged considering a lot of factors including: general utility strategy, expected value from such an installation, asset and risk management, utility best practices, economic, environmental or regulatory pressures, and will vary from one utility to another. What is the present experience, the value from on-line condition monitoring and what are the opportunities and challenges in future grids and considering modern technologies? The paper intends also to position on-line condition monitoring in life strategies and point to evolution and international activities related to the topic.</p>


Author(s):  
Kristen Izaryk ◽  
Robin Edge ◽  
Dawn Lechwar

Purpose The purpose of this article is to explore and describe the approaches and specific assessment tools that speech-language pathologists are currently using to assess social communication disorders (SCDs) in children, in relation to current best practices. Method Ninety-four speech-language pathologists completed an online survey asking them to identify which of the following approaches they use to assess children with SCD: parent/teacher report, naturalistic observation, formal assessment, language sample analysis, interviews, semistructured tasks, and peer/self-report. Participants were also asked to identify specific assessment tools they use within each approach. Results Participants most commonly assess SCDs by combining interviews, naturalistic observation, language sampling, parent/teacher report, and formal assessment. Semistructured tasks and peer/self-report tools were less frequently utilized. Several established parent/teacher report and formal assessment tools were commonly identified for assessing SCDs. Most participants use an informal approach for interviews, language sampling, and naturalistic observations in their SCD assessment process. Conclusions Generally, participants follow best practices for assessing SCDs by combining several different approaches. Some considerations for future assessment are identified, including the use of established protocols in the place of informal approaches in order to make the assessment of SCDs more systematic. Future directions for research are discussed.


Author(s):  
Elena Dukhovny ◽  
E. Betsy Kelly

According to the 2010 U.S. Census, over 20% of Americans speak a language other than English in the home, with Spanish, Chinese, and French being the languages most commonly spoken, aside from English. However, few augmentative and alternative communication (AAC) systems offer multilingual support for individuals with limited functional speech. There has been much discussion in the AAC community about best practices in AAC system design and intervention strategies, but limited resources exist to help us provide robust, flexible systems for users who speak languages other than English. We must provide services that take into consideration the unique needs of culturally and linguistically diverse users of AAC and help them reach their full communication potential. This article outlines basic guidelines for best practices in AAC design and selection, and presents practical applications of these best practices to multilingual/multicultural clients.


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