Time- and frequency-domain fusion for source-free adaptation fault diagnosis

Information Fusion, Год журнала: 2025, Номер unknown, С. 102875 - 102875

Опубликована: Янв. 1, 2025

Язык: Английский

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Fast and stable fault diagnosis method for composite fault of subsea production system

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 226, С. 112373 - 112373

Опубликована: Янв. 18, 2025

Язык: Английский

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Graph contrastive learning of modeling global-local interactions under hierarchical strategy: Application in anomaly detection

Process Safety and Environmental Protection, Год журнала: 2025, Номер unknown, С. 106871 - 106871

Опубликована: Фев. 1, 2025

Язык: Английский

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Research on Single-Phase Grounding Fault Line Selection in Resonant Grounding System Based on Median Complementary Ensemble Empirical Mode Decomposition and Multiscale Permutation Entropy Normalization and K-Means Algorithm

Processes, Год журнала: 2025, Номер 13(2), С. 475 - 475

Опубликована: Фев. 9, 2025

When a single-phase grounding fault occurs in resonant system, due to the compensation effect of arc coil on there are problems such as signal amplitude and waveform being close, which leads difficulties line selection. This paper proposes selection discrimination method based MCEEMD-MPE normalization k-means clustering analysis algorithm. The is applied system. zero-sequence current obtained decomposed by MCCEEMD obtain number components. components with obvious characteristics selected for calculation multi-scale permutation entropy, not only avoids mode aliasing, but also highlights at different scales. Finally, algorithm used correctly distinguish non-fault lines. effectiveness verified real test field case. results show that can accurately identify under faults when occurs. recognition accuracy 100%, effectively improves rate grounding.

Язык: Английский

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Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction

Entropy, Год журнала: 2025, Номер 27(3), С. 277 - 277

Опубликована: Март 7, 2025

Variational Mode Decomposition (VMD) serves as an effective method for simultaneously decomposing signals into a series of narrowband components. However, its theoretical foundation, the classical Wiener filter, exhibits limited adaptability when applied to broadband signals. This paper proposes novel Variable Filtered-Waveform (VFW-VMD) address critical limitations in VMD, particularly handling and chirp By incorporating fractional-order constraints dynamically adjusting filter waveforms, proposed algorithm effectively mitigates mode mixing over-smoothing issues. The mathematical framework VFW-VMD is formulated, decomposition performance validated through simulations involving both synthetic real-world results demonstrate that superior extracting captures more rolling bearing fault features. work advances signal processing techniques, enhancing capability significantly improving practical diagnostic applications.

Язык: Английский

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An evidential reasoning-based information fusion method for fault diagnosis of ship rudder

Ocean Engineering, Год журнала: 2024, Номер 318, С. 120082 - 120082

Опубликована: Дек. 27, 2024

Язык: Английский

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