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Title:
INHAUL CABLE TENSION IDENTIFICATION ALGORITHM CONSIDERING SEMI-RIGID CONSTRAINTS AT TWO ENDS
Document Type and Number:
WIPO Patent Application WO/2024/073899
Kind Code:
A1
Abstract:
Disclosed in the present invention is an inhaul cable tension identification algorithm considering semi-rigid constraints at two ends. The present invention only requires basic parameters such as the length of an inhaul cable and mass per unit length of the inhaul cable, and uses modal identification algorithms, such as a random subspace algorithm and a frequency domain decomposition algorithm, to process signals collected by an acceleration sensor, so as to obtain corresponding first-order natural frequency and vibration mode, thus solving the cable tension without requiring any other data in advance. Compared with the existing string vibration theory, the present invention simplifies an inhaul cable into an equivalent single-degree-of-freedom system, corrects the first-order natural frequency of the inhaul cable using the vibration mode obtained by means of modal identification, thus avoiding cable tension identification errors caused by changes in the mechanical characteristics of inhaul cable boundaries, and improving the cable tension measurement efficiency and accuracy. The present invention has very good application prospects in the aspect of cable tension real-time monitoring of inhaul cable structures. This method is especially suitable for structures having the mechanical characteristics of inhaul cable boundaries continuously changing along with working conditions in actual operation, and has high practicability and wide applicability.

Inventors:
FU XING (CN)
SUN SIYUAN (CN)
LI QINGWEI (CN)
LI HUI (CN)
LI HONGNAN (CN)
Application Number:
PCT/CN2022/124243
Publication Date:
April 11, 2024
Filing Date:
October 10, 2022
Export Citation:
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Assignee:
UNIV DALIAN TECH (CN)
NAT ASTRONOMICAL OBSERVATORIES CAS (CN)
International Classes:
G01L5/00
Attorney, Agent or Firm:
LIAONING HONGWEN INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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