Multivariate state estimation-based condition monitoring of slurry circulating pumps for wet flue gas desulfurization of power plants

Duan, Dawei; Han, Shangbo; Wang, Zhongcheng; Pang, Chunbo; Yao, Longchao; Liu, Weijie; Yang, Jian; Zheng, Chenghang; Gao, Xiang

doi:10.1016/j.engfailanal.2024.108099

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Cited by 2 publications

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A Novel Approximate Computing Method for Efficient Search in Satellite Remote Sensing Products

Alsalama,

Kubba,

Alsmirat

et al. 2024

2024 International Conference on Multimedia Computing, Networking and Applications (MCNA)

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A Novel Approximate Computing Method for Efficient Search in Satellite Remote Sensing Products

Alsalama,

Kubba,

Alsmirat

et al. 2024

2024 International Conference on Multimedia Computing, Networking and Applications (MCNA)

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Structural Damage Early Warning Method of Quayside Container Crane Based on Fuzzy Entropy Ratio Variation Deviation

Liu,

Zhao,

Zhao

et al. 2024

Sensors

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Real-time monitoring and early warning of structures are essential for assessing structural health and ensuring safety maintenance. To improve the timeliness of early warnings for structural abnormal states in quayside container cranes (QCCs) with incomplete damage data, a structural abnormal state early warning method based on fuzzy entropy ratio variation deviation (FERVD) is proposed. First, monitoring data are subjected to dual-tree complex wavelet transform (DTCWT). The adaptive frequency bands obtained from the decomposition, combined with fuzzy entropy (FE), are used to extract response signal features and construct the FERVD warning indicator. Based on this indicator, dynamic thresholds for early warning are established to differentiate between structural health states and various damage conditions. Secondly, a finite element model of structure for QCCs is developed. By simulating damage at various locations and severities through the stiffness reduction of different elements, a comprehensive structural simulation monitoring dataset is generated. The efficacy of the proposed early warning method is validated through numerical experiments and engineering case studies. The numerical results demonstrate that the proposed method effectively distinguishes between different damage conditions and provides timely warnings for various damage states. Furthermore, engineering case analysis shows that when the structure is in a healthy state, the FERVD values at different monitoring points fluctuate within the threshold range, indicating the applicability of the proposed method in the structural health monitoring (SHM) of QCCs.

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Multivariate state estimation-based condition monitoring of slurry circulating pumps for wet flue gas desulfurization of power plants

Cited by 2 publications

References 43 publications

A Novel Approximate Computing Method for Efficient Search in Satellite Remote Sensing Products

A Novel Approximate Computing Method for Efficient Search in Satellite Remote Sensing Products

Structural Damage Early Warning Method of Quayside Container Crane Based on Fuzzy Entropy Ratio Variation Deviation

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