TY - JOUR
T1 - Intelligent fault prediction system based on internet of things
AU - Xu, Xiaoli
AU - Chen, Tao
AU - Minami, Mamoru
N1 - Funding Information:
This work was sponsored by National Natural Science Foundation of China ( 50975020 ) and Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality ( PHR20090518 , 201008443 , 201106132 ) and Key Projects for Introduction of Foreign Technical Personnel under the Jurisdiction of Beijing Municipality ( B201101010 ).
PY - 2012/9
Y1 - 2012/9
N2 - Fault prediction is the key technology to ensure the safe operation of large equipment. Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper. The system is used for key mechanical equipment groups, and aims at improving the working efficiency and the intelligent level of fault prediction. First the characteristics of the system are analyzed, and then the four-layer functional architecture of the system is designed to realize comprehensive condition monitoring, reliable information transmission and computer intelligent information processing for fault prediction. And three main difficulties faced in the system are discussed. The fault prediction system based on internet of things can provide technical means to achieve scientific predictive maintenance for large key mechanical equipment groups.
AB - Fault prediction is the key technology to ensure the safe operation of large equipment. Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper. The system is used for key mechanical equipment groups, and aims at improving the working efficiency and the intelligent level of fault prediction. First the characteristics of the system are analyzed, and then the four-layer functional architecture of the system is designed to realize comprehensive condition monitoring, reliable information transmission and computer intelligent information processing for fault prediction. And three main difficulties faced in the system are discussed. The fault prediction system based on internet of things can provide technical means to achieve scientific predictive maintenance for large key mechanical equipment groups.
KW - Fault prediction
KW - Intelligent computer information processing
KW - Internet of things
KW - Mechanical equipment groups
KW - Predictive maintenance
UR - http://www.scopus.com/inward/record.url?scp=84865691619&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865691619&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2011.12.049
DO - 10.1016/j.camwa.2011.12.049
M3 - Article
AN - SCOPUS:84865691619
SN - 0898-1221
VL - 64
SP - 833
EP - 839
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
IS - 5
ER -