Title :
Rockbolts detection based on immune danger theory
Author :
Xiaoyun Sun ; Yang Zhao ; Tianyuan Zhang ; Donghui Liu
Author_Institution :
Sch. of Electr. & Electron. Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
Abstract :
An algorithm of rockbolts nondestructive detection based on immune danger theory is proposed. With the sonic frequency stress wave reflection detecting technology, a series of data are acquired. Both “danger” signal and “abnormal” signal are selected in the immune danger theory. This method has overcome the limitation of artificial immune system model based on “self-nonself”. The result shows that it has higher detection validity and fault coverage than conventional artificial immune algorithm.
Keywords :
acoustic signal detection; data acquisition; fasteners; fault diagnosis; inspection; mechanical engineering computing; nondestructive testing; abnormal signal; danger signal; data acquisition; fault coverage; immune danger theory; rockbolts nondestructive detection; sonic frequency stress wave reflection detecting technology; Biological system modeling; Detectors; Educational institutions; Fault diagnosis; Immune system; Reflection; Vectors; immune danger theory; nondestructive detection; rockbolts;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818068
