Room H, 10/17/2000 2: 00 PM - 4: 00 PM (PS) Constructing an Anesthesia Machine Fault Simulator for a Teaching Program Using a “Trade-In” Anesthesia Machine 

2000 ◽  
Vol 93 (3A) ◽  
pp. A-1217
Author(s):  
A. William Paulsen ◽  
Richard Brouillard
2007 ◽  
Vol 104 (1) ◽  
pp. 154-156 ◽  
Author(s):  
Eric R. Larson ◽  
Gregory A. Nuttall ◽  
Brian D. Ogren ◽  
Dean D. Severson ◽  
Sarah A. Wood ◽  
...  

2003 ◽  
Vol 8 (1) ◽  
pp. 28-33
Author(s):  
Yolanda García Rodríguez

In Spain doctoral studies underwent a major legal reform in 1998. The new legislation has brought together the criteria, norms, rules, and study certificates in universities throughout the country, both public and private. A brief description is presented here of the planning and structuring of doctoral programs, which have two clearly differentiated periods: teaching and research. At the end of the 2-year teaching program, the individual and personal phase of preparing one's doctoral thesis commences. However, despite efforts by the state to regulate these studies and to achieve greater efficiency, critical judgment is in order as to whether the envisioned aims are being achieved, namely, that students successfully complete their doctoral studies. After this analysis, we make proposals for the future aimed mainly at the individual period during which the thesis is written, a critical phase in obtaining the doctor's degree. Not enough attention has been given to this in the existing legislation.


1995 ◽  
Author(s):  
Marc Theeboom ◽  
Paul De Knop ◽  
Livin Bollaert ◽  
Maureen R. Weiss

Author(s):  
Weihai Sun ◽  
Lemei Han

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.


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