Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification

المؤلفون المشاركون

Zhou, Xiaohang
Li, Qiao
Khan, Inamullah
Cao, Lu

المصدر

Shock and Vibration

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-12-23

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Data-driven stochastic subspace identification (DATA-SSI) is frequently applied to bridge modal parameter identification because of its high stability and accuracy.

However, the existence of abnormal data and noise components may make the identification result of DATA-SSI unreliable.

In order to achieve a reliable identification result of the bridge modal parameter, a data inspecting and denoising method based on exploratory data analysis (EDA) and morphological filter (MF) was proposed for DATA-SSI.

First, EDA was adopted to inspect the data quality for removing the data measured from malfunctioning sensors.

Then, MF along with an automated structural element (SE) size determination technique was adopted to suppress the noise components.

At last, DATA-SSI and stabilization diagram were applied to identify and exhibit the bridge modal parameter.

A model bridge and a real bridge were used to verify the effectiveness of the proposed method.

The comparison of the identification results of the original data and improved data was made.

The results show that the identification results obtained with the improved data are more accurate, stable, and reliable.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhou, Xiaohang& Cao, Lu& Khan, Inamullah& Li, Qiao. 2018. Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification. Shock and Vibration،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1215218

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhou, Xiaohang…[et al.]. Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification. Shock and Vibration No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1215218

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhou, Xiaohang& Cao, Lu& Khan, Inamullah& Li, Qiao. Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1215218

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1215218