Results 81 to 90 of about 33,160 (233)

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella   +2 more
wiley   +1 more source

Identification of Natural and Forcing Frequencies through Noisy Measurements Acquired in Operational Conditions on a Hospital Building

open access: yesAdvances in Civil Engineering
Operational modal analysis is a robust and practical approach to structural health monitoring which assumes white noise as input. Therefore, the accuracy of this method can be compromised when dealing with colored unknown excitations, in which, for ...
C. Rinaldi   +4 more
doaj   +1 more source

A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry

open access: yesShock and Vibration, 2019
The identification of operational modal parameters of a wind turbine blade is fundamental for online damage detection. In this paper, we use binocular photogrammetry technology instead of traditional contact sensors to measure the vibration of blade and ...
Wenyun Wang, Xuejun Li, Anhua Chen
doaj   +1 more source

Temporal Model Adaptation for Person Re-Identification

open access: yes, 2016
Person re-identification is an open and challenging problem in computer vision. Majority of the efforts have been spent either to design the best feature representation or to learn the optimal matching metric.
AJ Joshi   +26 more
core   +1 more source

Recognition of Spatiotemporal Feature Images of Zero‐Sequence Voltage for Single‐Phase High‐Impedance Ground Faults Under Complex Conditions

open access: yesHigh Voltage, EarlyView.
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li   +5 more
wiley   +1 more source

LQ decomposition based subspace identification under deterministic type disturbance

open access: yesSystems Science & Control Engineering, 2017
To overcome the influence from deterministic type load disturbance with unknown dynamics, a bias-eliminated subspace identification method is proposed for consistent estimation.
Shengnan Zhang   +3 more
doaj   +1 more source

The Detection of Subsynchronous Oscillation in HVDC Based on the Stochastic Subspace Identification Method 1 [PDF]

open access: yes
: Subsynchronous oscillation (SSO) usually caused by series compensation, power system stabilizer (PSS), high voltage direct current transmission (HVDC) and other power electronic equipment, which will affect the safe operation of generator shafting even
Chen Shi   +3 more
core   +1 more source

Improved Stochastic Subspace System Identification for Structural Health Monitoring

open access: yesJournal of Physics: Conference Series, 2015
Structural health monitoring acquires structural information through numerous sensor measurements. Vibrational measurement data render the dynamic characteristics of structures to be extracted, in particular of the modal properties such as natural frequencies, damping, and mode shapes.
Chia-Ming Chang, Chin-Hsiung Loh
openaire   +1 more source

Towards Efficient Maximum Likelihood Estimation of LPV-SS Models

open access: yes, 2018
How to efficiently identify multiple-input multiple-output (MIMO) linear parameter-varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable still remains an open question, as identification methods proposed in
Cox, Pepijn B.   +2 more
core   +2 more sources

A Mixed Frequency BVAR for the Australian Economy*

open access: yesEconomic Record, EarlyView.
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley   +1 more source

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