Vibration Measurement & Analysis Using Arduino Based Accelerometer

2020 ◽  
Author(s):  
Md. Hasibuzzaman ◽  
Abu Shufian ◽  
Rubayat Kabir Shefa ◽  
Rifat Raihan ◽  
Joy Ghosh ◽  
...  
Keyword(s):  
Vibration Measurement ◽  
Measurement Analysis

Vibration source properties of cargo trains: free field vibration and trackside measurement analysis

2021 ◽  
Vol 263 (2) ◽  
pp. 4652-4659
Author(s):  
Eliam Vlijm
Keyword(s):  
Free Field ◽  
Vibration Measurement ◽  
Vibration Source ◽  
Mean Square ◽  
Vibration Level ◽  
Vibration Signals ◽  
Measurement Analysis ◽  
Train Speed ◽  
Rail Deflection

Annoyance caused by railway operations has gained increasing attention in the Netherlands. This has led to a multimillion research project into different aspects of train passages as a source of vibration. The project is initiated by the Dutch railway operator ProRail. In advance of this project a study has been performed on vibration signals at free field caused by cargo train passages at four different sites. The signals have been compared to trackside measurements. The trackside measurements consist of fibre optic measurements of the rail deflection at pre-installed locations different from the free field vibration measurement sites. Different vibration level indicators have been studied like train speed, axle loads and wheel roughness indicators and their correlation with vibration levels. Vibration levels are defined in several ways, a frequency weighted running mean square value (so-called Veffmax), a 2-second RMS level (unweighted) and levels per frequency band. Special attention is given to the variation in time of the measured vibration signals during the train passage to see whether 'bad quality' wheel passages can be identified. The results give valuable input for a future case study in which wheel quality and its influence on vibration levels will be studied further.

Positive Associations Primacy in the IAT

2011 ◽  
Vol 58 (5) ◽  
pp. 376-384 ◽  
Author(s):  
Pasquale Anselmi ◽  
Michelangelo Vianello ◽  
Egidio Robusto
Keyword(s):  
Implicit Association Test ◽  
Rasch Measurement ◽  
Normal Weight ◽  
Association Test ◽  
Primacy Effect ◽  
Implicit Association ◽  
Obese People ◽  
Measurement Analysis ◽  
Implicit Prejudice

Two studies investigated the different contribution of positive and negative associations to the size of the Implicit Association Test (IAT) effect. A Many-Facet Rasch Measurement analysis was applied for the purpose. Across different IATs (Race and Weight) and different groups of respondents (White, Normal weight, and Obese people) we observed that positive words increase the IAT effect whereas negative words tend to decrease it. Results suggest that the IAT is influenced by a positive associations primacy effect. As a consequence, we argue that researchers should be careful when interpreting IAT effects as a measure of implicit prejudice.

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