A novel health indicator based on hysteresis loop for health prediction of flight control systems

Guo, Yihan; Ma, Cunbao; Dong, Xu; Liang, Yan; Hu, Biyuan

doi:10.1016/j.measurement.2021.110076

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…To report the results, all the WQImin models are estimated based on the criterion of the Pearson correlation coefficient (PCC), MSE, and mean absolute percentage error (MAPE) (Guo et al 2021 ; Gao et al 2021b ). These formulas are defined as follows.…”

Section: The Proposed Wqi and Wqimin Modelmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Water Resour Manage

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Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality difference. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with different number of crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.

show abstract

Section: The Proposed Wqi and Wqimin Modelmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Water Resour Manage

View full text Add to dashboard Cite

show abstract

“…To validate the effectiveness and superiority of the proposed method, the WQImin with different number of the crucial water quality parameters are established according to the order of the water quality parameters listed in Table 2. All the WQImin models are estimated based on the criterion of the Pearson correlation coefficient (PCC) [32], MSE, and mean absolute percentage error (MAPE) [33]. These formulas are defined as follows.…”

Section: The Performance Of the Enhanced Bas Based Wqiminmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Preprint

View full text Add to dashboard Cite

Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality classes. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with the various crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.

show abstract

Identification of structured nonlinear state–space models for hysteretic systems using neural network hysteresis operators

Krikelis,

Pei,

van Berkel

et al. 2024

Measurement

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A novel health indicator based on hysteresis loop for health prediction of flight control systems

Cited by 4 publications

References 33 publications

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Identification of structured nonlinear state–space models for hysteretic systems using neural network hysteresis operators

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