Research on a General Fast Analysis Algorithm Model for Pd Acoustic Detection System: The Software Development

Author(s):  
Xing-De Huang ◽  
Chen-Zhao Fu ◽  
Lei Su ◽  
Dan-Dan Zhao ◽  
Rong Xiao ◽  
...  
2013 ◽  
Vol 35 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Donhyug Kang ◽  
Seonho Lim ◽  
Hyungbeen Lee ◽  
Jaewon Doh ◽  
Youn-Ho Lee ◽  
...  

Author(s):  
Gerald B. Anderson

Trackside Acoustic Detection System (TADS®) development spearheaded implementation of an acoustic freight car roller bearing detector whose purpose is to prevent in-service bearing failures (burned off journals and hot bearing detector train stops). The means of accomplishing this goal is by providing the user with a warning of internal bearing defects or degradation with component involvement and severity information. The Transportation Technology Center, Inc. (TTCI) began the TADS® development process in 1994 with basic research into bearing defect acoustic emissions. Subsequently, TTCI conducted prototype testing on a North American railroad, constructed and installed of several international beta test systems, and finally has sold production systems in North America and internationally. There are currently about 40 TADS® sites in operation world-wide with 2.0 or more systems scheduled for installation in 2007. The original mission for TADS® in North America was an early warning of bearing degradation to allow for scheduled maintenance, but after initial evaluation, this mission enlarged to include notification of potentially high risk bearings. The high risk bearing is defined as one with fairly large areas of internal damage and at an increased risk of overheating or failing in service. The high risk bearing has a different acoustic signature, dissimilar to that of smaller defects. This paper will outline the change in mission for this detector and describe the development of an improved capability for detecting these high risk bearings.


2019 ◽  
Vol 146 (4) ◽  
pp. 3079-3079
Author(s):  
Steven S. Bishop ◽  
Timothy R. Moore ◽  
Peter Gugino ◽  
Brett Smith ◽  
Kathryn P. Kirkwood ◽  
...  

2015 ◽  
Vol 1 (1) ◽  
pp. 59
Author(s):  
Miguel Angel Estudillo Valderrama ◽  
Laura M Roa Romero ◽  
Luis Javier Reina Tosina ◽  
Gerardo Barbarov Rostan ◽  
David Naranjo Hernandez

This paper discusses some relevant methodological and implementation experiences acquired during the design and development of an embedded Fall Detection System (FDS), which can be of help in order to develop efficient and safe biomedical software for mobile Health (mHealth). For this purpose, an analysis of concepts like portability and iterative design, as well as some concerns about risks and safety involved, is provided in order to address some of the current challenges in embedded software, regarding the state-of-art of software development standards and mHealth technologies. This analysis is later evaluated for a custom pre-industrial prototype of the FDS, as an example of the feasibility of the approach followed. The results obtained show that a convenient methodological process can help to optimize available resources so as to provide affordable mHealth solutions.


2012 ◽  
Vol 33 ◽  
pp. 877-883
Author(s):  
Zhu Jie-zhong ◽  
Yao Yong-lei ◽  
Chen Su-ting

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