TY - JOUR
T1 - Infrared spectrum analysis method for detection and early warning of longitudinal tear of mine conveyor belt
AU - Yang, Ruiyun
AU - Qiao, Tiezhu
AU - Pang, Yusong
AU - Yang, Yi
AU - Zhang, Haitao
AU - Yan, Gaowei
N1 - Accepted Author Manuscript
PY - 2020
Y1 - 2020
N2 - A novel approach based on infrared spectrum analysis for early-warning of longitudinal tearing of the conveyor belt was proposed in the paper. Unlike most existing methods, the proposed method monitors the change process of the infrared radiation field of the longitudinal tearing through the infrared thermal imaging technology, and judges whether there is the risk of the longitudinal tearing of the conveyor belt through the frequency-domain characteristic coefficient T of the infrared radiation field. Experimental results exhibit that the characteristic coefficient T can quantitatively describe the change characteristics of infrared radiation field during the tearing process of conveyor belt. When the conveyor belt is complete penetration, the T value fluctuates violently from 0.6 to 1.6. This characteristic can be used as the precursor information of the tearing process, which broadens the train of thought for identification and early warning of conveyor belt longitudinal tearing.
AB - A novel approach based on infrared spectrum analysis for early-warning of longitudinal tearing of the conveyor belt was proposed in the paper. Unlike most existing methods, the proposed method monitors the change process of the infrared radiation field of the longitudinal tearing through the infrared thermal imaging technology, and judges whether there is the risk of the longitudinal tearing of the conveyor belt through the frequency-domain characteristic coefficient T of the infrared radiation field. Experimental results exhibit that the characteristic coefficient T can quantitatively describe the change characteristics of infrared radiation field during the tearing process of conveyor belt. When the conveyor belt is complete penetration, the T value fluctuates violently from 0.6 to 1.6. This characteristic can be used as the precursor information of the tearing process, which broadens the train of thought for identification and early warning of conveyor belt longitudinal tearing.
KW - Fast Fourier transform
KW - Frequency domain characteristics
KW - Infrared spectrum analysis detection (ISAD)
KW - Longitudinal tearing
UR - http://www.scopus.com/inward/record.url?scp=85087862825&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2020.107856
DO - 10.1016/j.measurement.2020.107856
M3 - Article
AN - SCOPUS:85087862825
SN - 0263-2241
VL - 165
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 107856
ER -