A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches
Z Gao, C Cecati, SX Ding - IEEE transactions on industrial …, 2015 - ieeexplore.ieee.org
With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …
tolerance for performance degradation, productivity decrease, and safety hazards, which …
Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis
Despite the general acknowledgment in the Fault Detection and Isolation (FDI) literature that
FDI are typically accomplished in two steps, namely residual generation and residual …
FDI are typically accomplished in two steps, namely residual generation and residual …
Dynamic identification and model updating of an eight-storey CLT building
So far, few in situtests have been carried out to estimate the modal parameters of multi-
storey Cross-Laminated-Timber (CLT) buildings: the understanding of their dynamic …
storey Cross-Laminated-Timber (CLT) buildings: the understanding of their dynamic …
Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors
With the development of Industry 4.0 technology, it is a popular trend to reduce maintenance
costs and ensure the safety of novel nuclear systems combined with deep learning (DL) …
costs and ensure the safety of novel nuclear systems combined with deep learning (DL) …
Sensitivity analysis of subspace-based damage indicators under changes in ambient excitation covariance, severity and location of damage
It is common practice in Structural Health Monitoring (SHM) to perform damage detection by
detecting changes in subspace-based damage indicators. They are computed by comparing …
detecting changes in subspace-based damage indicators. They are computed by comparing …
Fuzzy-driven strategy for fully automated modal analysis: Application to the SMART2013 shaking-table test campaign
PÉ Charbonnel - Mechanical Systems and Signal Processing, 2021 - Elsevier
A crucial step when identifying the modal signature of systems using growing order
parametric methods consists in discriminating spurious modes from physical modes. In this …
parametric methods consists in discriminating spurious modes from physical modes. In this …
Faults detection and classification in a centrifugal pump from vibration data using markov parameters
One of the strategies to detect and classify faults in mechanical systems is to use a time
domain family of techniques known as output-only methods. Those methods are based on …
domain family of techniques known as output-only methods. Those methods are based on …
Fault detection for systems with model uncertainty and disturbance via coprime factorization and gap metric
The fault detection (FD) problem for systems with both model uncertainty and external
disturbance is investigated in this article. First, the mathematical models of systems with …
disturbance is investigated in this article. First, the mathematical models of systems with …
Fine-grained transfer learning based on deep feature decomposition for rotating equipment fault diagnosis
J Dong, D Su, Y Gao, X Wu, H Jiang… - … Science and Technology, 2023 - iopscience.iop.org
The study of transfer learning in rotating equipment fault diagnosis helps overcome the
problem of low sample marker data and accelerates the practical application of diagnostic …
problem of low sample marker data and accelerates the practical application of diagnostic …
A reliability-based approach to determine the minimum detectable damage for statistical damage detection
This paper derives a formula to determine the minimum detectable damage based on
ambient vibration data. It is a key element to analyze which damage scenarios can be …
ambient vibration data. It is a key element to analyze which damage scenarios can be …