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Component-level fault diagnosis of the independent metering valve-controlled hydraulic system based on model-reconstruction domain-mix few-shot learning 认领 引用
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作者 Chenggang YUAN Jiahao WU +3 位作者 Jianfeng TAO Xiaohan TANG Hao SUN Chengliang LIU 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2026年第4期312-325,共14页
The independent metering valve-controlled hydraulic systems(IMVCHS)decouple the valve structure and independently control the inlet and outlet of cylinders,providing precise motion control,high flexibility,and reduced... The independent metering valve-controlled hydraulic systems(IMVCHS)decouple the valve structure and independently control the inlet and outlet of cylinders,providing precise motion control,high flexibility,and reduced energy consumption compared with conventional valve-controlled hydraulic systems.Component-level fault diagnosis of IMVCHS under few-shot scenarios remains challenging due to data insufficiency and imbalance caused by the increased control degree of freedom and unmeasurable system parameters.To address this,we propose a novel model-reconstruction domain-mix few-shot learning(MR-DMFSL)strategy.At the pretraining stage,the strategy develops a reconstructor network using 1DLCNN and Res Net to reconstruct the unmeasurable internal pressures in the system from simulation data.For meta-training,a domainmixer is constructed to extract domain invariant and variant features to reduce domain imbalance,and a few-shot graph neural network classifier is constructed to achieve component-level fault diagnosis.Experimental results validate that the MR-DMFSL strategy effectively identified 12 faults from specific system components and significantly enhanced the fault diagnosis accuracy from 55.23% to 84.10% under a 5-shot scenario.The proposed strategy can overcome the data insufficiency and domain imbalance in fault diagnosis of hydraulic systems,demonstrating a promising solution for the reliable,precise,and energy-efficient operation of fluid power machinery. 展开更多
关键词 independent metering valve-controlled hydraulic systems component-level fault diagnosis few-shot learning model reconstruction domain imbalance data insufficiency
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Fault diagnosis based on measurement reconstruction of HPT exit pressure for turbofan engine 认领 引用 被引量：16
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作者 Xin ZHOU Feng LU Jinquan HUANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2019年第5期1156-1170,共15页
Aero-engine gas path health monitoring plays a critical role in Engine Health Management(EHM). To achieve unbiased estimation, traditional filtering methods have strict requirements on measurement parameters which som... Aero-engine gas path health monitoring plays a critical role in Engine Health Management(EHM). To achieve unbiased estimation, traditional filtering methods have strict requirements on measurement parameters which sometimes cannot be measured in engineering. The most typical one is the High-Pressure Turbine(HPT) exit pressure, which is vital to distinguishing failure modes between different turbines. For the case of an abrupt failure occurring in a single turbine component, a model-based sensor measurement reconstruction method is proposed in this paper. First,to estimate the missing measurements, the forward algorithm and the backward algorithm are developed based on corresponding component models according to the failure hypotheses. Then,a new fault diagnosis logic is designed and the traditional nonlinear filter is improved by adding the measurement estimation module and the health parameter correction module, which uses the reconstructed measurement to complete the health parameters estimation. Simulation results show that the proposed method can well restore the desired measurement and the estimated measurement can be used in the turbofan engine gas path diagnosis. Compared with the diagnosis under the condition of missing sensors, this method can distinguish between different failure modes, quantify the variations of health parameters, and achieve good performance at multiple operating points in the flight envelope. 展开更多
关键词 Component-level model Condition monitoring Fault diagnosis Measurement reconstruction Turbofan engines Unscented Kalman filter
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An improved high-fidelity adaptive model for integrated inlet-engine-nozzle based on mechanismdata fusion 认领 引用 被引量：4
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作者 Chen WANG Ziyang YU +1 位作者 Xian DU Ximing SUN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第8期190-207,共18页
Nowadays,there has been an increasing focus on integrated flight propulsion control and the inlet-exhaust design for the aero-propulsion system.Traditional component-level models are inadequate due to installed perfor... Nowadays,there has been an increasing focus on integrated flight propulsion control and the inlet-exhaust design for the aero-propulsion system.Traditional component-level models are inadequate due to installed performance deviations and mismatches between the real engine and the model,failing to meet the accuracy requirements of supersonic conditions.This paper establishes a quasi-one-dimensional model for the inlet-exhaust system and conducts experimental calibration.Additionally,a mechanism-data fusion adaptive modeling scheme using an Extreme Learning Machine based on the Salp Swarm Algorithm(SSA-ELM)is proposed.The study reveals the inlet model’s efficacy in reflecting installed performance,flow matching,and mitigating pressure distortion,while the nozzle model accurately predicts flow coefficients and thrust coefficients,and identifies various operational states.The model’s output closely aligns with typical experimental parameters.By combining offline optimization and online adaptive correction,the mechanismdata fusion adaptive model substantially reduces output errors during regular flights and varying levels of degradation,and effectively handles gradual degradation within a single flight cycle.Notably,the mechanism-data fusion adaptive model holistically addresses total pressure errors within the inlet-exhaust system and normal shock location correction.This approach significantly curbs performance deviations in supersonic conditions.For example,at Ma=2.0,the system error impressively drops from 34.17%to merely 6.54%,while errors for other flight conditions consistently stay below the 2.95%threshold.These findings underscore the clear superiority of the proposed method. 展开更多
关键词 Aero-propulsion system Integrated inlet-enginenozzle Component-level model On-board adaptive model Mechanism-data fusion Extreme learning machine
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Multi-fidelity simulation of aeroengine for far-offdesign conditions using iterative coupled method based on auxiliary maps 认领 引用
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作者 Weimin DENG Yibing XU +3 位作者 Ming NI Zuojun WEI Xiaohua GAN Guangming REN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第11期147-167,共21页
Iterative coupled methods are widely used in multi-fidelity simulation of rotating components due to the simple implementation,which iteratively eliminates the errors between the computational fluid dynamics models an... Iterative coupled methods are widely used in multi-fidelity simulation of rotating components due to the simple implementation,which iteratively eliminates the errors between the computational fluid dynamics models and approximate characteristic maps.However,the convergence and accuracy of the iterative coupled method are trapped in characteristic maps.In particular,iterative steps increase sharply as the operation point moves away from the design point.To address these problems,this paper developed an auxiliary iterative coupled method that introduces the static-pressure-auxiliary characteristic maps and modification factor of mass flow into the component-level model.The developed auxiliary method realized the direct transfer of static pressure between the high-fidelity models and the component-level model.Multi-fidelity simulations of the throttle characteristics were carried out using both the auxiliary and traditional iterative coupled methods,and the simulation results were verified using the experimental data.Additionally,the consistency between the auxiliary and traditional iterative coupled methods was confirmed.Subsequently,multi-fidelity simulations of the speed and altitude characteristics were also conducted.The auxiliary and traditional iterative coupled methods were evaluated in terms of convergence speed and accuracy.The evaluation indicated that the auxiliary iterative coupled method significantly reduces iterative steps by approximately 50%at the near-choked state.In general,the auxiliary iterative coupled method is preferred as a development of the traditional iterative coupled method in the near-choked state,and the combined auxiliary-traditional iterative coupled method provides support for successful multi-fidelity simulation in far-off-design conditions. 展开更多
关键词 Multi-fidelity simulation Iterative method Component-level model Turbojet engines Computational fluid dynamics
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县级融媒体中心省级新媒体平台的实践研究 认领 引用 被引量：4
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作者 罗列异 《电视技术》 2021年第5期152-156,共5页
浙江广播电视集团新蓝网作为浙江省县级融媒体中心(以下简称县融)省级新媒体平台的建设者,以技术为驱动力,以运营服务为引擎,赋能县融建立“新闻+政务服务商务”的互联网模式,携手打造“既有颜值又有内涵”的县融移动端App。基于此,阐... 浙江广播电视集团新蓝网作为浙江省县级融媒体中心(以下简称县融)省级新媒体平台的建设者,以技术为驱动力,以运营服务为引擎,赋能县融建立“新闻+政务服务商务”的互联网模式,携手打造“既有颜值又有内涵”的县融移动端App。基于此,阐述自主研发的新媒体技术平台建设理念、系统架构以及实现功能,剖析融合生产、融合发布、UI组件化以及个性推荐等核心技术以及强运营的县融客户端特性,并给出县融保障网络信息安全的途径。 展开更多
关键词 县级融媒体中心 省级新媒体平台 UI组件化 融媒发布
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Multi-Fidelity Simulation of Gas Turbine Overall Performance by Directly Coupling High-Fidelity Models of Multiple Rotating Components 认领 引用 被引量：1
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作者 DENG Weimin XU Yibing +3 位作者 NI Ming WEI Zuojun GAN Xiaohua REN Guangming 《Journal of Thermal Science》 SCIE EI CAS CSCD 2024年第4期1357-1378,共22页
Multi-fidelity simulations incorporate computational fluid dynamics(CFD) models into a thermodynamic model,enabling the simulation of the overall performance of an entire gas turbine with high-fidelity components.Trad... Multi-fidelity simulations incorporate computational fluid dynamics(CFD) models into a thermodynamic model,enabling the simulation of the overall performance of an entire gas turbine with high-fidelity components.Traditional iterative coupled methods rely on characteristic maps,while fully coupled methods directly incorporate high-fidelity simulations.However,fully coupled methods face challenges in simulating rotating components,including weak convergence and complex implementation.To address these challenges,a fully coupled method with logarithmic transformations was developed to directly integrate high-fidelity CFD models of multiple rotating components.The developed fully coupled method was then applied to evaluate the overall performance of a KJ66 micro gas turbine across various off-design simulations.The developed fully coupled method was also compared with the traditional iterative coupled method.Furthermore,experimental data from ground tests were conducted to verify its effectiveness.The convergence history indicated that the proposed fully coupled method exhibited stable convergence,even under far-off-design simulations.The experimental verification demonstrated that the multi-fidelity simulation with the fully coupled method achieved high accuracy in off-design conditions.Further analysis revealed inherent differences in the coupling methods of CFD models between the developed fully coupled and traditional iterative coupled methods.These inherent differences provide valuable insights for reducing errors between the component-level model and CFD models in different coupling methods.The developed fully coupled method,introducing logarithmic transformations,offers more realistic support for the detailed and optimal design of high-fidelity rotating components within the overall performance platform of gas turbines. 展开更多
关键词 multi-fidelity fully coupled method iterative coupled method gas turbine component-level model
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