To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidize...
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To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidized bed(SCFB)***,data-knowledge-driven dynamic model of bed temperature,load,and main steam pressure of the SCFB unit has been ***,a knowledge-driven method is employed to develop a dynamic model for key operating parameters of SCFB *** model parameters are determined based on the operating data of the unit and continuously optimized in real ***,Bidirectional Long Short-Term Memory combined with Convolutional Neural Network and Attention Mechanism is utilized to build the dynamic model of bed temperature,load,and main steam ***,a collaboration and integration method based on the critic weight method and the variation coefficient method is proposed to establish data-knowledge-driven model of key operating parameters for SCFB *** model displays great accuracy and fitting ability compared with other methods and effectively captures the dynamic characteristics,which can provide a research basis for the design of intelligent flexible control mode of SCFB unit.
For mixed-ship scenarios, traditional aircraft have limited ability to extract ship features due to the constraints of observation angles, making it difficult to effectively select the high-value ship targets. In this...
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The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this pap...
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The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is *** uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single *** epigraph reformulation and Benders decomposition are applied to solve the proposed ***,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.
A large number of sensors and controllers in the micro-grid system transmit signals through the network, however, due to the physical limitations of the network bandwidth and service capacity, data transmission in the...
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Although depth completion has achieved remarkable performance relying on deep learning in recent years, these models tend to suffer a performance degradation when exposed to new environments. Online adaptation, where ...
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In order to counteract the impact of passive jamming in unmanned airborne radar for search and attack missions against ships at sea, and to enhance the overall striking effectiveness at the UAV swarm level, a method i...
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In this paper, the engineering problems in scene matching positioning system are studied, according to the scene matching positioning of satellite under the condition of denial, establish a volume of physical model, k...
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The dynamic characteristics of a single liquid-filled pipe have been broadly studied in the previous *** parallel liquid-filled pipe(PLFP)system is also widely used in engineering,and its structure is more complex tha...
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The dynamic characteristics of a single liquid-filled pipe have been broadly studied in the previous *** parallel liquid-filled pipe(PLFP)system is also widely used in engineering,and its structure is more complex than that of a single ***,there are few reports about the dynamic characteristics of the ***,this paper proposes improved frequency modeling and solution for the PLFPs,involving the logical alignment principle and coupled matrix *** established model incorporates both the fluid-structure interaction(FSI)and the structural coupling of the *** validity of the established model is verified by modal *** effects of some unique parameters on the dynamic characteristics of the PLFPs are *** work provides a feasible method for solving the FSI of multiple pipes in parallel and potential theoretical guidance for the dynamic analysis of the PLFPs in engineering.
To improve the estimation accuracy of state of charge(SOC)and state of health(SOH)for lithium-ion batteries,in this paper,a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm...
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To improve the estimation accuracy of state of charge(SOC)and state of health(SOH)for lithium-ion batteries,in this paper,a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm(GA)combined with back propagation(BP)neural network is proposed,the research addresses the issue of data manipulation resulting ***,anomalous data stemming fromcyber-attacks are identified and eliminated using the isolated forest algorithm,followed by data ***,the incremental capacity(IC)curve is derived fromthe restored data using theKalman filtering algorithm,with the peak of the ICcurve(ICP)and its corresponding voltage serving as the health factor(HF).Thirdly,the GA-BP neural network is applied to map the relationship between HF,constant current charging time,and SOH,facilitating the estimation of SOH based on ***,SOC estimation at the charging cut-off voltage is calculated by inputting the SOH estimation value into the trained model to determine the constant current charging time,and by updating the maximum available *** show that the root mean squared error of the joint estimation results does not exceed 1%,which proves that the proposed method can estimate the SOC and SOH accurately and stably even in the presence of false data injection attacks.
Motion performance,including movement speed,adaptability to various environments,and load-carrying capability,is crucial for soft crawling robots,tasked with field exploration and the transporting material in often co...
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Motion performance,including movement speed,adaptability to various environments,and load-carrying capability,is crucial for soft crawling robots,tasked with field exploration and the transporting material in often complex and unstructured environments.A wide variety of soft crawling robots,which are driven by electricity[1],chemical power[2],and pressurized fluid[3]to move forward via cyclic deformation,have thus far been inspired by the mobile patterns of soft-bodied animals,such as worms[4],snake[5],octopus[6],*** performance of soft robots in terms of speed and load has developed impressively in recent years.
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