Loose Detecting of Tower Crane Bolts Based on Time Series Analysis

Abstract:

This paper deals with the loose detecting of tower crane bolts which is one of the core issues of the tower crane structure health monitoring. Based on the time series model ,we make research on the method of extracting the structure damage factor of tower crane. First, we establish an AR model with the detecting data, use AIC criterion to get AR model order,and then select the residual variance of AR model as the damage sensitive factor. Furthermore, we carry out a single-limb experiment on tower crane and analyze the single-limb experiment state. Good condition and injure state are compared using the above approach. It was found that the approach could effectively judge the healthy and injury states of the tower crane structure with an application value of real-time online damage diagnosis for early warning.

• Periodical: Advanced Materials Research (Volumes 706-708)
• Pages: 1790-1794
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.706-708.1790
• Online since: June 2013
• Authors: Sheng Chun Wang, Yan Tian, Shi Jun Song, Qing Wang
• Keywords: AR Model, Loose Detecting, Time Series, Tower Crane

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