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RISS 인기검색어
- 검색키워드
- 저자 : Yinsong Wang (검색결과 4 건)
- 무료
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- 유료
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Gearbox Fault Diagnosis Based on Two-Class NMF Network Under Variable Working Conditions
Wang Yinsong,Sun Tianshu,Liu Yanyan 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6
The gearbox is an important part of the wind turbine, and it is also a part prone to failure. Most of the fault diagnosis methods for gearboxes lack the ability to adapt to changing operating conditions. Once the operating conditions change, it is necessary to relearn the object characteristics, otherwise it is prone to misjudgment. Therefore, this paper proposes a method based on a two-class non-negative matrix factorization (NMF) network to realize gearbox fault diagnosis under variable operating conditions without additional data. The method is divided into two parts: model training and fault diagnosis. The former takes the basic operating conditions as the benchmark. It extracts the local static characteristics of the fault samples, and trains them into classifi er models with diff erent diagnostic functions to construct a network. The latter uses the static distance obtained from the data input network of the new operating condition as an important indicator for detecting the occurrence of a fault and identifying the type of the fault. The experimental results based on the QPZZ-II rotating machinery vibration test stand show that compared with other methods, the algorithm proposed in this paper has a good application eff ect on the diagnosis under variable operating conditions
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Research of ASW‑FCM‑Based Algorithm for Clustered Wind Turbine Group Equivalent Modeling
Mudan Li,Yinsong Wang,Qunli Sun,Yanyan Liu 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.4
A new dynamic equivalent modeling method for a wind farm composed of direct-drive wind turbines is proposed. Firstly, the efective input wind speed is calculated considering the wake efect and wind direction change between wind turbines, the operating characteristics is analyzed, the efective wind speed, rotor speed, pitch angle and output power that refect the wind turbine operating characteristics are selected as the multi-grouping indicators. Secondly, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) considering the diferences and correlations among turbines operating conditions is designed to cluster the wind farm optimally. Then the equivalent model of the clustered wind turbine group is established based on the principle that the output characteristics before and after the equivalence are equal. Finally, an actual wind farm system is used as an example for modeling and simulation to verify the rationality and accuracy of the equivalent modeling method.
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Mudan Li,Yinsong Wang 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6
A new frequency coordinated control strategy based on the variable de-loading level for a D-PMSG wind turbine is proposed. First, the D-PMSG wind turbine model and control system model are established. Second, the de-loading control principle of the D-PMSG wind turbine is described, the variable de-loading level control strategy is analyzed according to diff erent wind speeds and additional inertial control is introduced. Then the frequency coordinated control strategy combining variable de-loading level control and additional inertial control is designed for diff erent power reserve areas. Finally, a D-PMSG grid-connected simulation system is built to verify the rationality and accuracy of the frequency coordinated control strategy.
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A Novel Method for Actuator Degradation Assessment Based on Improved Multifractal Analysis
Sun Tianshu,Zheng Lin,Liu Jin,Wang Yinsong,Zhang Yu 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
In the process industry, actuators regulate the flow of process masses in response to instructions from a controller, which achieves the control objectives of the system. However, many factors cause the performance of the actuator to degrade. Therefore, it is of great significance to evaluate the actuator operating performance correctly for equipment maintenance and system optimization. In response, this paper designs an improved multifractal method based on statistical moment functions. And a set of indicators-based degradation assessment system is constructed. First, the time series collected from the actuator is divided into two different density zones, where evaluation indicators are established respectively to qualitatively describe the performance from different perspectives. Then, a degradation index calculated by weighted fusion is applied to quantitatively evaluate the dynamic degradation state of the actuator. Finally, the effectiveness and practicability of the method are experimentally verified through two field cases in thermal power units.
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