Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems
K Lu, Y **, Y Chen, Y Yang, L Hou, Z Zhang… - … Systems and Signal …, 2019 - Elsevier
This paper presents a review of proper orthogonal decomposition (POD) methods for order
reduction in a variety of research areas. The historical development and basic mathematical …
reduction in a variety of research areas. The historical development and basic mathematical …
An introduction to the proper orthogonal decomposition
A Chatterjee - Current science, 2000 - JSTOR
A tutorial is presented on the Proper Orthogonal Decomposition (POD), which finds
applications in computationally processing large amounts of high-dimensional data with the …
applications in computationally processing large amounts of high-dimensional data with the …
Machine learning algorithms for damage detection under operational and environmental variability
E Figueiredo, G Park, CR Farrar… - Structural Health …, 2011 - journals.sagepub.com
The goal of this article is to detect structural damage in the presence of operational and
environmental variations using vibration-based damage identification procedures. For this …
environmental variations using vibration-based damage identification procedures. For this …
Machine learning algorithms for damage detection: Kernel-based approaches
A Santos, E Figueiredo, MFM Silva, CS Sales… - Journal of Sound and …, 2016 - Elsevier
This paper presents four kernel-based algorithms for damage detection under varying
operational and environmental conditions, namely based on one-class support vector …
operational and environmental conditions, namely based on one-class support vector …
Reducing false alarms in guided waves structural health monitoring of pipelines: Review synthesis and debate
M El Mountassir, S Yaacoubi, F Dahmene - International Journal of …, 2020 - Elsevier
Guided waves based structural health monitoring systems have been proposed to ensure
reliability and structural integrity of pipelines. These systems are designed with permanently …
reliability and structural integrity of pipelines. These systems are designed with permanently …
Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
S Eftekhar Azam, A Rageh… - Structural Control and …, 2019 - Wiley Online Library
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
Robust ultrasonic damage detection under complex environmental conditions using singular value decomposition
Guided wave ultrasonics is an attractive monitoring technique for damage diagnosis in large-
scale plate and pipe structures. Damage can be detected by comparing incoming records …
scale plate and pipe structures. Damage can be detected by comparing incoming records …
Chatter recognition by a statistical evaluation of the synchronously sampled audio signal
TL Schmitz - Journal of Sound and Vibration, 2003 - Elsevier
Milling is a complex dynamic process that includes periodic impacts of the cutting teeth with
the workpiece, corresponding vibrations of the cutter and workpiece that define the …
the workpiece, corresponding vibrations of the cutter and workpiece that define the …
Investigation of machine learning methods for structural safety assessment under variability in data: Comparative studies and new approaches
H Sarmadi - Journal of Performance of Constructed Facilities, 2021 - ascelibrary.org
Due to the importance of civil structures and infrastructures, structural safety assessment or
structural health monitoring has become a basic necessity for every society. Recent …
structural health monitoring has become a basic necessity for every society. Recent …
Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach
In this paper, a framework is presented for the joint state tracking and parameter estimation
of partially observed structural systems characterized by a relatively large number of …
of partially observed structural systems characterized by a relatively large number of …