Recent advances in machine learning for fiber optic sensor applications
Over the last three decades, fiber optic sensors (FOS) have gained a lot of attention for their
wide range of monitoring applications across many industries, including aerospace …
wide range of monitoring applications across many industries, including aerospace …
Emerging artificial intelligence methods in structural engineering
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
E Zio - Reliability Engineering & System Safety, 2022 - Elsevier
We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …
building a new World in which the digital, physical and human dimensions are interrelated in …
A Fully Integrated Miniaturized Optical Biosensor for Fast and Multiplexing Plasmonic Detection of High‐and Low‐Molecular‐Weight Analytes
Optical biosensors based on plasmonic sensing schemes combine high sensitivity and
selectivity with label‐free detection. However, the use of bulky optical components is still …
selectivity with label‐free detection. However, the use of bulky optical components is still …
In-flight and wireless damage detection in a UAV composite wing using fiber optic sensors and strain field pattern recognition
Aiming to provide more efficient, lightweight structures, composite materials are being
extensively used in aerospace vehicles. As the failure mechanisms of these materials are …
extensively used in aerospace vehicles. As the failure mechanisms of these materials are …
Structural health monitoring in composite structures by fiber-optic sensors
Fiber-optic sensors cannot measure damage; to get information about damage from strain
measurements, additional strategies are needed, and several alternatives are available in …
measurements, additional strategies are needed, and several alternatives are available in …
[HTML][HTML] Removal of freezing effects from modal frequencies of civil structures for structural health monitoring
Freezing weather can introduce challenges in long-term structural health monitoring of civil
structures, particularly bridges. A noticeable impact of freezing temperature is the …
structures, particularly bridges. A noticeable impact of freezing temperature is the …
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference
In recent years, fault detection and diagnosis for industrial processes have been rapidly
developed to minimize costs and maximize efficiency by taking advantages of cheap …
developed to minimize costs and maximize efficiency by taking advantages of cheap …
Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables
MA de Carvalho Michalski, GFM de Souza - Expert Systems with …, 2022 - Elsevier
Maintenance strategies have been playing an increasingly important role in improving
engineering systems' performance, supporting the growth of availability and reliability, and …
engineering systems' performance, supporting the growth of availability and reliability, and …
On vibration-based damage detection by multivariate statistical techniques: Application to a long-span arch bridge
G Comanducci, F Magalhães… - Structural health …, 2016 - journals.sagepub.com
Structural health monitoring allows the automated condition assessment of civil
infrastructure, leading to a cost-effective management of maintenance activities. However …
infrastructure, leading to a cost-effective management of maintenance activities. However …