ReviewSensors (Basel, Switzerland)2020
Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Literature Review of Predictive Maintenance for Defence Fixed-Wing Aircraft Sustainment and Operations.Sensors (Basel, Switzerland) · 2022Pooled it
- Benchmarking Multilayer Perceptron Configurations for Damage Classification in UAV Composite Wings Using Fiber Bragg Gratings Sensors.Sensors (Basel, Switzerland) · 2026Article
- Fiber-Optic Sensor-Based Structural Health Monitoring with Machine Learning: A Task-Oriented and Cross-Domain Review.Sensors (Basel, Switzerland) · 2026Review
- From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection.Sensors (Basel, Switzerland) · 2026Article
- Real-Time Damage Detection in an Airplane Wing During Wind Tunnel Testing Under Realistic Flight Conditions.Sensors (Basel, Switzerland) · 2025Article
- Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies.Sensors (Basel, Switzerland) · 2025Review
- Emerging Trends in the Integration of Smart Sensor Technologies in Structural Health Monitoring: A Contemporary Perspective.Sensors (Basel, Switzerland) · 2024Review
- Quantification of the Uncertainty in Ultrasonic Wave Speed in Concrete: Application to Temperature Monitoring with Embedded Transducers.Sensors (Basel, Switzerland) · 2024Article
- Optimal Sensor Placement for Vibration-Based Damage Localization Using the Transmittance Function.Sensors (Basel, Switzerland) · 2024Article
- MARSBot: A Bristle-Bot Microrobot with Augmented Reality Steering Control for Wireless Structural Health Monitoring.Micromachines · 2024Article
- Analysis of Structural Health Monitoring Data with Correlated Measurement Error by Bayesian System Identification: Theory and Application.Sensors (Basel, Switzerland) · 2022Article
- Multivariate empirical mode decomposition-based structural damage localization using limited sensors.Journal of vibration and control : JVC · 2022Article
- Damage Classification Using Supervised Self-Organizing Maps in Structural Health Monitoring.Sensors (Basel, Switzerland) · 2022Article
- Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall.Sensors (Basel, Switzerland) · 2022Article
- Modelling and Validation of a Guided Acoustic Wave Temperature Monitoring System.Sensors (Basel, Switzerland) · 2021Article
- Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling.Sensors (Basel, Switzerland) · 2021Article
- Sensors for Structural Health Monitoring and Condition Monitoring.Sensors (Basel, Switzerland) · 2021Article
- Distributed Fibre Optic Sensor-Based Continuous Strain Measurement along Semicircular Paths Using Strain Transformation Approach.Sensors (Basel, Switzerland) · 2021Article
- Trajectory Identification for Moving Loads by Multicriterial Optimization.Sensors (Basel, Switzerland) · 2021Article
- Copula-Based Uncertainty Quantification (Copula-UQ) for Multi-Sensor Data in Structural Health Monitoring.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.