A New Fuzzy Reliability Model to Avoid Resonance and its Numerical Solutions

Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/877

Title:	A New Fuzzy Reliability Model to Avoid Resonance and its Numerical Solutions
Authors:	Zhang, Meng Lu, Shan
Keywords:	reliability model numerical method coefficient of variation sample distribution fuzzy degree
Issue Date:	11-Nov-2013
Publisher:	Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.:	Journal of Physical Science;17
Abstract:	There is a lot of fuzziness in resonance problem. Translating the fuzzy membership function into probability density function by using the normalized method, the fuzzy reliability model of blade to avoid resonance was established. Two methods were proposed to solve the model, which were called direct sampling method and typical distribution sampling method respectively, and the calculation formulas of their corresponding coefficients of variation were given. Some examples were carried out to compare the two methods and study the influence of fuzzy degrees on reliability.
URI:	http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/877
ISSN:	0972-8791
Appears in Collections:	Journal of Physical Sciences Vol.17 [2013]

Files in This Item:

File	Description	Size	Format
JPS-v17-5.pdf		341.05 kB	Adobe PDF	View/Open

DSpace JSPUI