Title :
Study on Fault Tree Analysis of Fuel Cell Stack Malfunction
Author :
Quan, Rui ; Tan, Baohua ; Quan, Shuhai
Author_Institution :
Sch. of Automobile Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In order to enhance the reliability and safety of Fuel Cell Engine(FCE), combined the composition of FCE developed by our group with the electrochemical reaction mechanism of fuel cell, the fault symptom of fuel cell stack malfunction was defined and analyzed from four aspects: hardware faults, software faults, environmental and man-made factors. Then its fault tree model was established, all the common fault causes were figured out qualitatively by Fussel Algorithm and were classified as 19 minimal cut sets. At last, the happening probability of top event, important degree of probability and key importance of each basic event were quantitatively calculated. Based on the study and analysis above, several effective rectification measures implied in practical work were put forward, which can provide helpful guiding significance to the control, management and maintenance of FCE in future.
Keywords :
electrochemistry; fault trees; fuel cell vehicles; Fussel algorithm; electrochemical reaction mechanism; environmental factor; fault tree analysis; fuel cell engine reliability; fuel cell engine safety; fuel cell stack malfunction; hardware fault; man made factor; software fault; Automation; Fault trees; Fuel cells; Mechatronics; Fault Tree; Fuel Ccell Stack Malfunction; Qualitative Analysis; Quantitative Calculation; Rreliability;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.166