By Topic

Research on Prognostic and Health Monitoring System for Large Complex Equipment

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

3 Author(s)
Zhang Jinyu ; Xi'an Res. Inst. of High-tech, Xi'an, China ; Huang Xianxiang ; Cai Wei

Prognostic and health monitoring (PHM) is the latest development of large complex equipment management. An extensible distributed prognostic and health monitoring system based on hybrid wireless network techniques was studied and designed in this paper. Firstly,after a careful analysis on the structure and tasks of the equipment, the general PHM framework of large complex equipment is proposed. Then the technical program and network of system are presented. The corresponding on-line monitoring, diagnosis and management system are designed.And the fault prediction technologies are discussed. Finally,the health management and decision system is studied. Anew technical plan that skillfully combines knowledge base,model base, database, their management systems and inference engine is proposed. And the realization is introduced. The results of practical operation show that,because of the using of hybrid wireless network, embedded system, prognostic and intelligent diagnosis, the system maybe flexibly deployed, have powerful capability of monitoring,diagnosis and management, and can implement expeditious and accurate prognostic and fault diagnosis for large complex equipment system.

Published in:

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Date of Conference:

11-12 July 2009