Editorial: Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems

Editorial: Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems

Bibliographic Details
Main Authors:	Manolis N. Chatzis, Eleni N. Chatzi, Costas Papadimitriou
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-08-01
Series:	Frontiers in Built Environment
Subjects:	monitoring damage identification data-driven models diagnostic tools uncertainty quantification structural health monitoring
Online Access:	https://www.frontiersin.org/article/10.3389/fbuil.2020.00125/full

Similar Items

Bayesian Parameter Determination of a CT-Test Described by a Viscoplastic-Damage Model Considering the Model Error
by: Ehsan Adeli, et al.
Published: (2020-08-01)

A Discontinuous Unscented Kalman Filter for Non-Smooth Dynamic Problems
by: Manolis N. Chatzis, et al.
Published: (2017-10-01)

A Comparative Study of Damage-Sensitive Features for Rapid Data-Driven Seismic Structural Health Monitoring
by: Yves Reuland, et al.
Published: (2023-02-01)

Editorial: robust monitoring, diagnostic methods and tools for engineered systems
by: Chatzis, MN, et al.
Published: (2020)

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications
by: Diego A. Tibaduiza Burgos, et al.
Published: (2020-01-01)

An Uncertainty Quantification Framework for Autonomous System Tracking and Health Monitoring
by: Matteo Corbetta, et al.
Published: (2021-03-01)

Explainable Data-Driven Method Combined with Bayesian Filtering for Remaining Useful Lifetime Prediction of Aircraft Engines Using NASA CMAPSS Datasets
by: Faisal Maulana, et al.
Published: (2023-01-01)

Tools for Distributed Systems Monitoring
by: Kufel Łukasz
Published: (2016-11-01)

Application of Neural Network in Simple Tool Wear Monitoring and Indentification System in MDF Milling
by: Marcin Zbieć
Published: (2011-03-01)

A Review on Damage Monitoring and Identification Methods for Arch Bridges
by: Jiafeng Yang, et al.
Published: (2023-08-01)

Experimental vibration dataset collected of a beam reinforced with masses under different health conditions
by: Amanda A.S.R. de Sousa, et al.
Published: (2024-02-01)

Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview
by: Mingming Song, et al.
Published: (2020-07-01)

Multidimensional Monitoring System of State Machines
by: Bogdan Zoltowski, et al.
Published: (2017-03-01)

Comparison of Bayesian Methods on Parameter Identification for a Viscoplastic Model with Damage
by: Ehsan Adeli, et al.
Published: (2020-07-01)

Automatic Threshold Setting and Its Uncertainty Quantification in Wind Turbine Condition Monitoring System
by: Kun S. Marhadi, et al.
Published: (2015-12-01)

Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process
by: Muhammad Asim Abbasi, et al.
Published: (2021-01-01)

Damage Detection and Monitoring of a Concrete Structure Using 3D Laser Scanning
by: Manik Das Adhikari, et al.
Published: (2023-06-01)

Development of a Methodology for Condition-Based Maintenance in a Large-Scale Application Field
by: Marco Cocconcelli, et al.
Published: (2018-04-01)

Towards Material-Batch-Aware Tool Condition Monitoring
by: Benjamin Lutz, et al.
Published: (2021-09-01)

Study on monitoring tool temperature and vibration in drilling and countersinking processes with a multi-functional wireless communication tool holder system
by: Ryo MATSUDA, et al.
Published: (2018-10-01)

A Robust Tool Condition Monitoring System Based on Cluster Density under Variable Machining Processes
by: Zhimeng Li, et al.
Published: (2023-06-01)

Interoperability Of Monitoring-Related Tools
by: Włodzimierz Funika, et al.
Published: (2005-01-01)

Machine Learning-Enriched Lamb Wave Approaches for Automated Damage Detection
by: Zi Zhang, et al.
Published: (2020-03-01)

Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review
by: Yang Zhou, et al.
Published: (2022-07-01)

A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis
by: James E. Warner, et al.
Published: (2017-06-01)

Monitoring of Rubber Belt Material Performance and Damage
by: Tomasz Ryba, et al.
Published: (2024-02-01)

Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning
by: Maciej Tabaszewski, et al.
Published: (2022-06-01)

Interoperability of Digital Tools for the Monitoring and Control of Construction Projects
by: Luz Duarte-Vidal, et al.
Published: (2021-11-01)

Monitoring and Diagnostic Load Testing of a Damaged Railway Bridge
by: Ivan Duvnjak, et al.
Published: (2019-09-01)

A Robust Deep Learning-Based Damage Identification Approach for SHM Considering Missing Data
by: Fan Deng, et al.
Published: (2023-04-01)

Monitoring oomycetes in water: combinations of methodologies used to answer key monitoring questions
by: Tim R. Pettitt
Published: (2023-10-01)

Real-Time Estimation for Cutting Tool Wear Based on Modal Analysis of Monitored Signals
by: Yongjiao Chi, et al.
Published: (2018-05-01)

Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring
by: Ahmed Raza, et al.
Published: (2019-10-01)

The Challenge of Collecting and Using Environmental Monitoring Data
by: Eric Biber
Published: (2013-12-01)

Systemic sclerosis – diagnostic and therapeutic recommendations of the Polish Dermatological Society. Part 1: diagnosis and monitoring
by: Dorota Krasowska, et al.
Published: (2017-11-01)

Monitoring and diagnostics of special-purpose turbomachines
by: Małgorzata Gizelska
Published: (2015-12-01)

Transfer of Process References between Machine Tools for Online Tool Condition Monitoring
by: Berend Denkena, et al.
Published: (2021-11-01)

Loop-Mediated Isothermal Amplification (LAMP) and SYBR Green qPCR for Fast and Reliable Detection of <i>Geosmithia morbida</i> (Kolařik) in Infected Walnut
by: Domenico Rizzo, et al.
Published: (2022-05-01)

Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information
by: Wenbo Xu, et al.
Published: (2018-01-01)

Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies
by: Albert Weinert, et al.
Published: (2023-02-01)