Structural Health Monitoring with Functional Data

Structural Health Monitoring with Functional Data: Two Case Studies

This paper demonstrates how a function-on-function regression approach, combined with profile monitoring, can be applied to SHM data to adjust sensor/system ...

A Functional Data Approach for Structural Health Monitoring - arXiv

It combines highly flexible yet interpretable semi-parametric modeling with functional principal component analysis and uses the corresponding ...

Structural Health Monitoring with Functional Data: Two Case Studies

Structural Health Monitoring (SHM) is increasingly used in civil engineering. One of its main purposes is to detect and assess changes in ...

Structural Health Monitoring with Functional Data: Two Case Studies

Request PDF | Structural Health Monitoring with Functional Data: Two Case Studies | Structural Health Monitoring (SHM) is increasingly used in civil ...

[PDF] A Functional Data Approach for Structural Health Monitoring ...

Structural Health Monitoring (SHM) is increasingly applied in civil engineering. One of its primary purposes is detecting and assessing changes in structure ...

A Functional Data Approach for Structural Health Monitoring - X-MOL

Structural Health Monitoring (SHM) is increasingly applied in civil engineering. One of its primary purposes is detecting and assessing changes in structure ...

Structural Health Monitoring - an overview | ScienceDirect Topics

Module 5 – Structural health data management system, and. Module 6 – Inspection and maintenance system. This chapter introduces the functional and ...

A Complete Guide to Structural Health Monitoring - AECbytes

The system's ability to function independently and unattended safeguards vital sensor data from network disruptions or PC system failures.

Structural health monitoring - Wikipedia

Structural health monitoring (SHM) involves the observation and analysis of a system over time using periodically sampled response measurements to monitor ...

Internet of things (IoT) driven structural health monitoring for ...

According to functional analysis, IoT is a critical component of seismic reinforcement, supported by timely data collection and transmission, predictive ...

Structural Health Monitoring Based on Data Science Techniques

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and ...

Analysis of Structural Health Monitoring Data with Correlated ... - MDPI

Bayesian system identification is conducted to achieve not only the posterior probability density function (PDF) for the model parameters, but ...

a copula and functional data-analytic approach - Sage Journals

Data analysis and modeling are very important in structural health monitoring. A good model is very conducive to better understanding, interpretation, ...

Examining Quantiles in Structural Health Monitoring - NDT.net

Gertheiss, „Structural Health Monitoring with Functional Data: Two Case. Studies,“ Submitted for Publication, 2024. [12] C. Capezza, F. Centofanti, A. Lepore ...

Data-Centric Structural Health Monitoring - De Gruyter

His recent research includes structural health monitoring/management (SHM), nondestructive inspection (NDI), machine learning, multi-functional ...

Structural Health Monitoring: Latest Applications and Data Analysis

Structural health monitoring (SHM) is focused on the systematic monitoring of the state of structures to determine their safety, ...

(PDF) Examining Quantiles in Structural Health Monitoring

This data can be viewed as functional and subjected to corresponding statistical methodologies. Prompt detection of potential structural damage is crucial due ...

A novel distribution regression approach for data loss compensation ...

Monitoring Data 15%. Probability Density Function 100%. Regression Technique 7%. Structural Health Monitoring 100%. Warping Function 30%. Computer Science.

Lost data reconstruction for structural health monitoring using deep ...

In the application of structural health monitoring, the measured data might be temporarily or permanently lost due to sensor fault or ...

Big Data Analytics and Structural Health Monitoring: A Statistical ...

Recent advances in sensor technologies and data acquisition systems opened up the era of big data in the field of structural health ...