Title :
Equipment Health State Grade Division Based on Artificial Immune System and Cloud Model
Author :
Liang-hua, Xia ; Wei-wei, Qi ; Jin-feng, Hao ; Xuan-yi, Guan
Author_Institution :
Dept. of Equip. Command & Manage., Ordnance Eng. Coll. of P.L.A., Shijiazhuang, China
Abstract :
In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud model to soften and divide the state grade and realizes the health state grade dividing automatically and optimally. At last, this algorithm is applied to gearbox, and the results shows that it can carry on rational division to the state grade of health equipped, and have good adaptability and robust.
Keywords :
artificial immune systems; biomedical equipment; health care; medical computing; pattern clustering; artificial immune system; cloud model; equipment state degradation data cluster; gearbox; health state grade dividing algorithm; health state threshold value; Clustering algorithms; Data models; Degradation; Educational institutions; Immune system; Monitoring; Numerical models; Artificial immune system; Cloud model; Equipment health management; health state grade;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.86
