Weak characteristic information extraction from early fault of wind turbine generator gearbox
Sign Up to like & getrecommendations! 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
Feature extraction for early fault detection in rotating machinery of nuclear power plants based on adaptive VMD and Teager energy operator
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
Sign Up to like & getrecommendations! 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
Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Early fault diagnosis of ball screws based on 1-D convolution neural network and orthogonal design
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"
DOI: 10.1177/1748006x21992886
Abstract: Ball screws, the most frequently used mechanical components to transform rotary motion into linear motion, can directly affect the precision and service life of engineering machines. Once the efficiency and accuracy of ball screws degrades,… read more here.
Keywords: early fault; fault diagnosis; ball screws;
Feature extraction of the weak periodic signal of rolling element bearing’ early fault based on shift invariant sparse coding
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Vibroengineering"
DOI: 10.21595/jve.2017.18757
Abstract: When fault such as pit failure arises in the rolling element bearing the vibration signal of which will take on periodic characteristics, and the abrupt failure of rotating machinery can be avoided effectively if the… read more here.
Keywords: weak periodic; fault; element bearing; bearing early ... See more keywords
A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23020162
Abstract: With the quick development of sensor technology in recent years, online detection of early fault without system halt has received much attention in the field of bearing prognostics and health management. While lacking representative samples… read more here.
Keywords: detection; online detection; adaptation; early fault ... See more keywords