A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

On modeling and damage detection methodologies in rotor systems

R Abdul Nasar, T Alzarooni, MA AL-Shudeifat - Nonlinear Dynamics, 2024 - Springer
Damages in rotor systems have severe impact on their functionality, safety, running
durability and their industrial productivity, which usually leads to unavoidable economical …

Composite panel damage classification based on guided waves and machine learning: an experimental approach

D Perfetto, N Rezazadeh, A Aversano, A De Luca… - Applied Sciences, 2023 - mdpi.com
Ultrasonic guided waves (UGW) are widely used in structural health monitoring (SHM)
systems due to the sensitivity of their propagation mechanisms to local material changes, ie …

Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel

N Rezazadeh, D Perfetto, A Polverino… - Structural Health …, 2024 - journals.sagepub.com
The goal of this research study is to classify damages in an aluminum panel using ultrasonic-
guided waves (UGWs). The study is carried out on the premise that only a limited dataset …

Classification of unbalanced and bowed rotors under uncertainty using wavelet time scattering, LSTM, and SVM

N Rezazadeh, M de Oliveira, D Perfetto, A De Luca… - Applied Sciences, 2023 - mdpi.com
Featured Application When one is uncertain whether the potential fault is unbalancing or
shaft bow based on frequency analysis, the proposed approach is applicable to issues …

Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects

W Deng, KTP Nguyen, K Medjaher, C Gogu… - Advanced Engineering …, 2023 - Elsevier
This paper proposes a new model, called rotor finite element mimetic neural network
(RFEMNN), for diagnosing rotor unbalance and shaft crack faults. RFEMNN uses a …

Diagnosing and balancing approaches of bowed rotating systems: a review

N Rezazadeh, A De Luca, G Lamanna, F Caputo - Applied Sciences, 2022 - mdpi.com
Driven/driving shafts are the most important portion of rotating devices. Misdiagnosis or late
diagnosis of these components could result in severe vibrations, defects in other parts …

Early fault classification in rotating machinery with limited data using TabPFN

L Magadán, J Roldán-Gómez, JC Granda… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Intelligent fault detection and classification is a cornerstone of prognostic and health
management of rotating machinery (RM) research. Correctly classifying and predicting RM …

Unravelling the Dynamics of Misalignment-Induced Vibrations in Two Jaw Elastomeric Couplings for Enhanced Industrial Reliability: A Comprehensive Analysis of …

GD Mehta, SD Shelare, AA Pachpor, S Sharma… - Journal of Vibration …, 2024 - Springer
Purpose In industrial applications, couplings are widely utilised, primarily to connect prime
movers to process machines. However, coupling must contend with various induced …

Lightweight network with variable asymmetric rebalancing strategy for small and imbalanced fault diagnosis

B Chen, L Zhang, T Liu, H Li, C He - Machines, 2022 - mdpi.com
Deep learning-related technologies have achieved remarkable success in the field of
intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are …