By Topic

A new failure detection method and its application in leak monitor of pipeline

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

4 Author(s)
Junhua Li ; Coll. of Ocean Environ. & Eng., Shanghai Maritime Univ., Shanghai ; Wenbai Liu ; Zhaochen Sun ; Li Cui

A new failure detection method for abrupt change based on ESPRT (extended sequential probability ratio test) and innovation theory is presented in this paper. This method realizes non-parameters detection by utilizing ESPRT to detect the innovation process generating in the innovation model, which enlarge the applicability of ESPRT. The paper establishes the innovation model by employing the nonlinear time series based on BP neural network and the leakage detection model of long pipe. The validity of the proposed method is verified by experiments. The results indicate that this method can detect leakage in real time.

Published in:

Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on

Date of Conference:

17-20 Dec. 2008