Inicio  /  Applied Sciences  /  Vol: 10 Par: 6 (2020)  /  Artículo
ARTÍCULO
TITULO

Acoustic Roughness Measurement of Railhead Surface Using an Optimal Sensor Batch Algorithm

Wootae Jeong and Dahae Jeong    

Resumen

Results and algorithm proposed in this research can be applicable in developing devices measruing acoustic rail surface irregularities, and various potental surface measuring equipment with a moving platform.

 Artículos similares

       
 
Feng Hu, Zhiqing Li, Yifan Tian and Ruilin Hu    
Construction operations in cold regions may encounter frozen geomaterials. In construction, it is important to understand the processes by which geomaterials fail under common loading conditions to avoid accidents and work efficiently. In this work, an a... ver más
Revista: Applied Sciences

 
Angélica Emygdio da Silva Antonetti, Larissa Thais Donalonso Siqueira, Maria Paula de Almeida Gobbo, Alcione Ghedini Brasolotto and Kelly Cristina Alves Silverio    
Cepstral peak prominence-smoothed (CPPs) and long-term average spectrum (LTAS) are robust measures that represent the glottal source and source-filter interactions, respectively. Until now, little has been known about how physiological events impact audi... ver más
Revista: Applied Sciences

 
Rikesh Patel, Matthias Hirsch, Paul Dryburgh, Don Pieris, Samuel Achamfuo-Yeboah, Richard Smith, Roger Light, Steve Sharples, Adam Clare and Matt Clark    
Additive manufacturing (AM) is a production technology where material is accumulated to create a structure, often through added shaped layers. The major advantage of additive manufacturing is in creating unique and complex parts for use in areas where co... ver más
Revista: Applied Sciences