Abstract
Bolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering due to their numerous advantages like the ability to bear relatively heavy loads, low costs, easy installation, and implementation. Bolt looseness may lead to costly disasters in industries and some cases of injuries. A new method for bolt looseness detection based on average autocorrelation function is proposed. It does not usually directly extract the looseness damage feature from the original response signal to detect the bolt looseness, but it uses the average autocorrelation function value at time lag T = 0 of the vibration pixel displacement signal to establish the looseness damage index. In terms of structural arrangement of this paper, firstly, the theoretical background of the proposed method is given. Then, an experimental system for bolt looseness detection based on computer vision is designed, and a verification experiment is carried out with the bolted connection plate as the experimental object. The results show that the proposed method can effectively obtain the location of the looseness damage of the bolted connection plate, which provides a new technical reference for the online monitoring of the looseness damage of bolted connection plate.
Highlights
Bolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering, because they have numerous advantages such as the ability to bear relatively heavy loads, low cost, and easy installation and implementation [1]
This paper proposes using the autocorrelation function of vibration response to establish damage index (DI) for detecting the bolt looseness
This paper proposes using the average autocorrelation function Rii(0) at time lag T 0 to establish the looseness damage indicator, and its calculation equation is
Summary
Bolted connections are widely used in multiple engineering fields including aerospace and mechanical engineering, because they have numerous advantages such as the ability to bear relatively heavy loads, low cost, and easy installation and implementation [1]. Lee [15] attempted a novel technique to detect bolt looseness using a transfer impedance technique for monitoring the structural health of a bolt joint. Sun and Zhang [16] proposed a monitoring method based on an impedance method that was researched for bolt looseness of steel structure. Huda et al [18] investigated a vibration testing and health monitoring system based on an impulse response excited by laser ablation. They estimated the bolt loosening by detecting fluctuations of the high frequency response with
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