Three decades of statistical pattern recognition paradigm for SHM of bridges
E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …
location, or economic development. The safest, economical, and most resilient bridges are …
A critical review on structural health monitoring: Definitions, methods, and perspectives
VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …
have endless applications for saving cost, time and improving safety. To date, structural …
Machine learning paradigm for structural health monitoring
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …
Vibration-based structural health monitoring methodology has been extensively …
DCNN-based multi-signal induction motor fault diagnosis
Deep learning (DL) architecture, which exploits multiple hidden layers to learn hierarchical
representations automatically from massive input data, presents a promising tool for …
representations automatically from massive input data, presents a promising tool for …
Challenges in bridge health monitoring: A review
P Rizzo, A Enshaeian - Sensors, 2021 - mdpi.com
Bridge health monitoring is increasingly relevant for the maintenance of existing structures
or new structures with innovative concepts that require validation of design predictions. In …
or new structures with innovative concepts that require validation of design predictions. In …
[图书][B] Structural health monitoring
D Balageas, CP Fritzen, A Güemes - 2010 - books.google.com
This book is organized around the various sensing techniques used to achieve structural
health monitoring. Its main focus is on sensors, signal and data reduction methods and …
health monitoring. Its main focus is on sensors, signal and data reduction methods and …
Review of automatic fault diagnosis systems using audio and vibration signals
The objective of this paper is to provide a review of recent advances in automatic vibration-
and audio-based fault diagnosis in machinery using condition monitoring strategies. It …
and audio-based fault diagnosis in machinery using condition monitoring strategies. It …
Life-cycle of structural systems: recent achievements and future directions
DM Frangopol, M Soliman - Structures and infrastructure systems, 2019 - taylorfrancis.com
Structural systems are under deterioration due to ageing, mechanical stressors, and harsh
environment, among other threats. Corrosion and fatigue can cause gradual structural …
environment, among other threats. Corrosion and fatigue can cause gradual structural …
Damage detection in composite materials using Lamb wave methods
SS Kessler, SM Spearing, C Soutis - Smart materials and …, 2002 - iopscience.iop.org
Cost-effective and reliable damage detection is critical for the utilization of composite
materials. This paper presents part of an experimental and analytical survey of candidate …
materials. This paper presents part of an experimental and analytical survey of candidate …
Damage diagnosis using time series analysis of vibration signals
A novel time series analysis is presented to locate damage sources in a mechanical system,
which is running in various operational environments. The source of damage is located by …
which is running in various operational environments. The source of damage is located by …