Optimization of sensor placement for structural health monitoring: A review
W Ostachowicz, R Soman… - Structural health …, 2019 - journals.sagepub.com
The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …
against the more widespread use of the structural health monitoring techniques …
Eliminating environmental and operational effects on structural modal frequency: A comprehensive review
Z Wang, DH Yang, TH Yi, GH Zhang… - Structural Control and …, 2022 - Wiley Online Library
Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …
and for capturing the dynamics of a monitored structure to reveal possible failures. However …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
This article proposes a novel probabilistic machine learning method based on unsupervised
novelty detection for health monitoring of civil structures. The core of this method is based on …
novelty detection for health monitoring of civil structures. The core of this method is based on …
A fully self-powered vibration monitoring system driven by dual-mode triboelectric nanogenerators
Vibration sensor is very necessary for monitoring the structural health of constructions.
However, it is still a major challenge to meet simultaneously real-time monitoring …
However, it is still a major challenge to meet simultaneously real-time monitoring …
Probabilistic data self-clustering based on semi-parametric extreme value theory for structural health monitoring
Clustering is a popular and useful unsupervised learning method with various algorithms for
applying to many engineering problems. However, some practical and technical issues such …
applying to many engineering problems. However, some practical and technical issues such …
Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
This paper presents a new methodology–based on cointegration analysis of Supervisory
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
The value of monitoring a structural health monitoring system
Abstract Structural Health Monitoring (SHM) systems are adopted to acquire timely and
continuous data on the state of civil structures, aerospace vehicles, and industrial machines …
continuous data on the state of civil structures, aerospace vehicles, and industrial machines …
A feature extraction & selection benchmark for structural health monitoring
There are a large number of time domain, frequency domain and time-frequency signal
processing methods available for univariate feature extraction. However, there is no …
processing methods available for univariate feature extraction. However, there is no …
The state-of-the-art on framework of vibration-based structural damage identification for decision making
Research on detecting structural damage at the earliest possible stage has been an
interesting topic for decades. Among them, the vibration-based damage detection method as …
interesting topic for decades. Among them, the vibration-based damage detection method as …