Application of the subspace-based methods in health monitoring of civil structures: A systematic review and meta-analysis
A large number of research studies in structural health monitoring (SHM) have presented,
extended, and used subspace system identification. However, there is a lack of research on …
extended, and used subspace system identification. However, there is a lack of research on …
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection
Time series analysis and novelty detection are effective and promising methods for data-
driven structural health monitoring (SHM) based on the statistical pattern recognition …
driven structural health monitoring (SHM) based on the statistical pattern recognition …
Faults detection and classification in a centrifugal pump from vibration data using markov parameters
One of the strategies to detect and classify faults in mechanical systems is to use a time
domain family of techniques known as output-only methods. Those methods are based on …
domain family of techniques known as output-only methods. Those methods are based on …
Frequency Co-integration-based damage detection for bridges under the influence of environmental temperature variation
Natural frequencies of structures are usually convenient to acquire with a high precision in
engineering. However, it is still difficult and faces challenges to apply the frequencies in the …
engineering. However, it is still difficult and faces challenges to apply the frequencies in the …
Automatic identification of structural modal parameters based on density peaks clustering algorithm
Estimating modal parameters requires significant user interaction, especially when
parametric system identification methods are used and the physical modes are selected in …
parametric system identification methods are used and the physical modes are selected in …
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function
Transmissibility function (TF) is widely applied in damage detection due to its sensitivity to
damage and robustness to external excitations, but its application in online damage …
damage and robustness to external excitations, but its application in online damage …
Structural Vibration Data Anomaly Detection Based on Multiple Feature Information Using CNN‐LSTM Model
X Zhang, W Zhou - Structural Control and Health Monitoring, 2023 - Wiley Online Library
Structural health monitoring (SHM) system has been operating for a long time in a harsh
environment, resulting in various abnormalities in the collected structural vibration …
environment, resulting in various abnormalities in the collected structural vibration …
Bayesian operational modal analysis of a pedestrian bridge using a field test with multiple setups
YC Ni, FL Zhang - International Journal of Structural Stability and …, 2016 - World Scientific
An ambient vibration test was conducted for the pedestrian bridge that links the City
University (CityU) of Hong Kong and the adjacent subway station. In this test, 100 locations …
University (CityU) of Hong Kong and the adjacent subway station. In this test, 100 locations …
Nonlinear structural damage detection based on adaptive Volterra filter model
The majority of the existing damage diagnostic techniques are based on linear models.
Changes in the state of the dynamics of these models, before and after damage in the …
Changes in the state of the dynamics of these models, before and after damage in the …
Anomaly detection of bridge health monitoring data based on KNN algorithm
Z Lei, L Zhu, Y Fang, X Li, B Liu - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
Pattern recognition technology is applied to bridge health monitoring to solve abnormalities
in bridge health monitoring data. Testing is of great significance. For abnormal data …
in bridge health monitoring data. Testing is of great significance. For abnormal data …