Search
Search Results
-
Infrared Thermographic NDT-based Damage Detection and Analysis Method for Spacecraft
The book focuses on infrared thermographic NDT systems and approaches. Both principles and engineering practice are covered, with more emphasis on...
-
Intelligent Car Damage Detection System
This research develops an automated car damage detection system using computer vision and deep learning algorithms to detect and classify damage on...
-
Foreign Object Damage Detection and Elimination
Foreign object damage (FOD) detection and elimination is identifying and removing any foreign objects that can pose safety hazards during ground...
-
Structural Damage Detection Methods
This section explores the damage detection methods of WT components within a structural health monitoring (SHM) framework. Specifically, it addresses...
-
Structural Damage Detection by Derivative-Based Wavelet Transforms
In practical applications of wavelet transform, engineers and practitioners encounter challenges that arise due to the disparity between wavelet...
-
Damage Detection on Historical Structure Using Image Processing
This paper focuses on the “Revitalizing historical structures: Using image processing for accurate damage detection and assessment.” Our objective is...
-
Linear Refinement Attention for Road Damage Detection
Object detection plays a vital role in computer vision. As a typical application of object detection, road damage detection has strong...
-
Deep learning based damage detection of concrete structures
Damage detection of any civil engineering structure is a part of the interest in the field of engineering from which one can estimate the stability...
-
Structural damage detection of 3-D truss structure using nodal response analysis
The health monitoring system is considered mandatory during the operating period of truss structures, which are periodically tested to investigate...
-
Improved YOLOv7 for Road Damage Detection
The current road damage detection (RDD) algorithms fail to achieve automatic and accurate evaluation and application in the traffic scenarios. In...
-
Damage detection in space truss structures using a third-level approach
Monitoring civil engineering infrastructure is crucial to ensuring that the structures can continue to function properly. An important aspect of this...
-
On-machine detection of face milling cutter damage based on machine vision
Aiming at the problems of uneven illumination at the edge of the surface damage image of the face milling cutter, the blade line at the damage cannot...
-
Machine learning models for damage detection in steel beams
Early-stage damage detection in structural elements such as beams, columns, and slabs subjected to various loads will aid in planning retrofitting...
-
Image-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance...
-
Image-based and risk-informed detection of Subsea Pipeline damage
As one of the most important assets in the transportation of oil and gas products, subsea pipelines are susceptible to various environmental hazards,...
-
Ultrasonic Lamb Wave Damage Detection of CFRP Composites Using the Bayesian Neural Network
Composite plates are susceptible to various damages in complex conditions and working environments, which may reduce the reliability of the structure...
-
Damage detection of frame structure using a novel time-domain regression method
Shear structure model is the most frequently used to model for the damage detection of frame building structures. However, due to the existence of...
-
Car Damage Detection Based on Mask Scoring RCNN
The growth of the car industry is now closely linked to the rise of the number of car accidents. As a result, insurance companies must deal with...
-
Damage Detection in Steel Beams Using Generalized Flexibility Quotient Difference Based Damage Index and Artificial Neural Network
BackgroundFailure of the structure may be avoided if, the damage is noticed at an early stage and proper remedial work is performed. In this context,...
-
Noise robustness of an operational modal-based structural damage-detection scheme using impact-synchronous modal analysis
Data-driven damage-detection schemes are usually unsupervised machine-learning models in practice, as these do not require any training....