By Topic

Intelligent method of reducing BIT's false alarm based on SVM_FCA_HMM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sun Ping ; Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China ; Zhang Wenjin

BIT's false alarm is one of the most important reasons of restricting testability's development. In order to decrease BIT's false alarm and develop BITE's performance, this paper discusses present situation of BIT's false alarm at first, then introduces several advanced models of reducing false alarm which are neural network, support vector machine, fuzzy clustering analysis and hidden Markov model. After then, this paper compares the advantages and disadvantages of these models about reducing BIT's false alarm. Synthesizing the advantages of SVM, FCA and HMM, this paper gives an intelligent model based on SVM_FCA_HMM to decrease false alarm, and analyzes theoretically this model's functionary and efficiency. Finally, this paper applies the method in the aero-engine's digital electronic control system and discusses its rationality and applicability, and proves that this model can be applied generally.

Published in:

Prognostics and System Health Management Conference (PHM-Shenzhen), 2011

Date of Conference:

24-25 May 2011