Investigation on Time Series Stiffness Spacing Model for Steel Structural Sound Condition Diagnosis of Tower Cranes

Yu Qin Yan; Shi Jun Song; Cai Feng Qiao; Mei Ling Dong; Sheng Chun Wang

doi:10.4028/www.scientific.net/AMR.382.356

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 382Investigation on Time Series Stiffness Spacing...

Investigation on Time Series Stiffness Spacing Model for Steel Structural Sound Condition Diagnosis of Tower Cranes

Abstract:

Damage recognition and diagnosis for large-scale structures on line need suitable models and practical algorithms, which have less computational complexity and demand less memory, to be realized by microcontroller or microcomputer. In this paper, the AR(n) time series model and the recursive least square method are chosen to establish the dynamic model for the monitoring data of the tower crane’s top inclination. A judgment criterion for steel structural sound condition of tower crane is proposed. The Time Series Stiffness Spacing Model (TSSSM) is established according to the feature model of the tower crane’s top inclination under the normal condition. The experimental results show that the model can accurately identify the steel structural sound condition of the tower crane. So the model has the practical value for damage alarming online.

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Periodical:

Advanced Materials Research (Volume 382)

Pages:

356-360

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.382.356

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Online since:

November 2011

Authors:

Yu Qin Yan, Shi Jun Song, Cai Feng Qiao, Mei Ling Dong, Sheng Chun Wang

Keywords:

Damage Diagnosis, Sound Condition, Time Series Stiffness Spacing Model, Top Inclination

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References

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