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   Articles with "early fault" as a keyword



Weak characteristic information extraction from early fault of wind turbine generator gearbox

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recommendations! Published in 2017 at "Frontiers of Mechanical Engineering"

DOI: 10.1007/s11465-017-0423-4

Abstract: Given the weak early degradation characteristic information during early fault evolution in gearbox of wind turbine generator, traditional singular value decomposition (SVD)-based denoising may result in loss of useful information. A weak characteristic information extraction… read more here.

Keywords: weak characteristic; information; early fault; characteristic information ... See more keywords
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Feature extraction for early fault detection in rotating machinery of nuclear power plants based on adaptive VMD and Teager energy operator

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recommendations! Published in 2021 at "Annals of Nuclear Energy"

DOI: 10.1016/j.anucene.2021.108392

Abstract: Abstract Extracting features for early failure detection in rotating machinery of nuclear power plants (NPPs) is difficult because in the early stages of failure the impact on the vibration signals is weak. To improve early… read more here.

Keywords: early fault; rotating machinery; fault; detection rotating ... See more keywords

Early fault diagnosis of bearing based on frequency band extraction and improved tunable Q-factor wavelet transform

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recommendations! Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.01.036

Abstract: Abstract Early fault signals of bearings feature a wide frequency band and strong background noise, which contain both an oscillation component and a periodic impact component. Given its excellent signal decomposition performance, an improved tunable… read more here.

Keywords: early fault; frequency band; factor; fault ... See more keywords

A Novel Empirical Variational Mode Decomposition for Early Fault Feature Extraction

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3232553

Abstract: Early fault features of large-scale and low-speed mechanical equipment with heavy duty are weak and exhibit strong non-stationary characteristics. The adaptive extraction and identification of highly relevant important features from such signals has attracted significant… read more here.

Keywords: novel empirical; empirical variational; decomposition; early fault ... See more keywords

Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3401254

Abstract: The frequent occurrence of cable early faults can lead to permanent failure of cables, making the power grid damaged and unable to work normally. To avoid the cable early faults causing great damage to the… read more here.

Keywords: fault identification; cable; early fault; network ... See more keywords

An Unsupervised Approach to Power Transformer Early Fault Warning Based on PMCAEN and SVDD

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recommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2025.3552721

Abstract: Early fault warning is critical for long-term stable operation of power transformer. However, slight mechanical fault of the power transformer does not lead to obvious changes in the vibration signal, which undoubtedly increases the difficulty… read more here.

Keywords: power transformer; fault warning; power; early fault ... See more keywords

Parallel Multiple CNNs With Temporal Predictions for Wind Turbine Blade Cracking Early Fault Detection

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3370786

Abstract: Detection tasks based on supervisory control and data acquisition (SCADA) data are challenging because of the following problems: 1) high redundancy and high nonlinearity of data complicate the detection task and 2) because the sheer… read more here.

Keywords: detection; wind turbine; turbine blade; early fault ... See more keywords

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

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recommendations! Published in 2017 at "Shock and Vibration"

DOI: 10.1155/2017/9375491

Abstract: The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic components. The features of early fault in rolling bearing are very weak, which are… read more here.

Keywords: fault; element bearing; early fault; impulsive signal ... See more keywords
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Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism

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recommendations! Published in 2021 at "Shock and Vibration"

DOI: 10.1155/2021/6660243

Abstract: Aiming at the problem of early fault diagnosis of rolling bearing, an early fault detection method of rolling bearing based on a multiscale convolutional neural network and gated recurrent unit network with attention mechanism (MCNN-AGRU)… read more here.

Keywords: fault; method; network attention; rolling bearing ... See more keywords

Early fault detection of gas turbine hot components under different ambient and operating conditions

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recommendations! Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"

DOI: 10.1177/0954410020986890

Abstract: Failure of hot components in gas turbines often causes catastrophic results. Early fault detection can prevent serious incidents and improve the availability. A novel early fault detection method of hot components is proposed in this… read more here.

Keywords: early fault; fault detection; hot components; gas ... See more keywords

A novel method for early fault diagnosis of planetary gearbox with distributed tooth surface wear

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recommendations! Published in 2023 at "Structural Health Monitoring"

DOI: 10.1177/14759217231163887

Abstract: Planetary gearbox (PGB) usually work in harsh working conditions with low speed and heavy load, and they are prone to wear. Different from the local faults, the distributed faults such as tooth surface wear are… read more here.

Keywords: fault diagnosis; fault; surface wear; tooth surface ... See more keywords