Vibration-based incipient surge detection and diagnosis of the centrifugal compressor using adaptive feature fusion and sparse ensemble learning approach

Y Hou, Y Wang, Y Pan, W He, W Huang, P Wu… - Advanced Engineering …, 2023 - Elsevier
As a critical high-speed rotating machinery, the centrifugal compressor has been widely
used in various modern industries. However, it is subject to a potential damaging …

An operating condition information-guided iterative variational mode decomposition method based on Mahalanobis distance criterion for surge characteristic …

Y Hou, P Wu, D Wu - Mechanical Systems and Signal Processing, 2023 - Elsevier
As a significant high-speed rotating machinery being widely used in modern industry, the
centrifugal compressor is subject to a potentially damaging phenomenon called surge …

A novel decomposition-based approach for non-stationary hub-height wind speed modelling

Z Yang, S Dong - Energy, 2023 - Elsevier
An accurate description of hub-height wind speed characteristics is indispensable to
offshore wind resource assessment and structure reliability analysis. However, given the …

A differential diagnosis approach of localized planet gear fault using overall transmission error

H Liu, J Lin, J Jiao, B Zhang, Z Liu, X Lu - Measurement, 2023 - Elsevier
Owing to recent studies on the relationship between the transmission error and the localized
gear fault, TE-based differential diagnosis (DD) technology has emerged as a promising …

Experimental detection of train wheel defects using wayside vibration signal processing

M Salehi, SA Bagherzadeh… - Structural Health …, 2023 - journals.sagepub.com
While many studies have been used onboard monitoring methods to detect train wheel
defects, this paper aims to extract damage features from vibrational signals obtained by the …

[HTML][HTML] Aerodynamic instabilities detection via empirical mode decomposition in centrifugal compressors

M Stajuda, DG Cava, G Liśkiewicz - Measurement, 2022 - Elsevier
Detection of aerodynamic instabilities in compressors is of great importance for machine
safety and efficiency. It is a challenge due to their highly non-stationary and non-linear …

A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China

Z Yang, S Dong - Renewable Energy, 2024 - Elsevier
Wind energy assessment at multi-time scale is essential for the effective utilization of
offshore wind resources. Conventionally, energy assessment factors are estimated based on …

Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance

D Song, F Xu, J Hu, T Ma - Structural Health Monitoring, 2023 - journals.sagepub.com
The centrifugal compressor is widely used in modern industry, and the blades are prone to
crack due to complex loads and working conditions. Owing to the fault features caused by …

[HTML][HTML] Comparison of empirical mode decomposition and singular spectrum analysis for quick and robust detection of aerodynamic instabilities in centrifugal …

M Stajuda, D García Cava, G Liśkiewicz - Sensors, 2022 - mdpi.com
Aerodynamic instabilities in centrifugal compressors are dangerous phenomena affecting
machine efficiency and in severe cases leading to failure of the compressing system. Quick …

Informative singular value decomposition and its application in fault detection of planetary gearbox

Z Shen, Z Shi, G Shen, D Zhen, F Gu… - … Science and Technology, 2022 - iopscience.iop.org
The fault features of planetary gearboxes are modulated complexly and are submerged by
other signal components, for its vibration signal has the characteristics of multi-source and …