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A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring
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 …
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
On modeling and damage detection methodologies in rotor systems
Damages in rotor systems have severe impact on their functionality, safety, running
durability and their industrial productivity, which usually leads to unavoidable economical …
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
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 …
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
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 …
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
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 …
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
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 …
(RFEMNN), for diagnosing rotor unbalance and shaft crack faults. RFEMNN uses a …
Diagnosing and balancing approaches of bowed rotating systems: a review
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 …
diagnosis of these components could result in severe vibrations, defects in other parts …
Early fault classification in rotating machinery with limited data using TabPFN
Intelligent fault detection and classification is a cornerstone of prognostic and health
management of rotating machinery (RM) research. Correctly classifying and predicting RM …
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 …
Purpose In industrial applications, couplings are widely utilised, primarily to connect prime
movers to process machines. However, coupling must contend with various induced …
movers to process machines. However, coupling must contend with various induced …
Lightweight network with variable asymmetric rebalancing strategy for small and imbalanced fault diagnosis
Deep learning-related technologies have achieved remarkable success in the field of
intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are …
intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are …