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Operation safety risk analysis method of hydropower project considering time-dependent effect

Zhang Sherong,YanLei

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 51-55

Abstract:

In order to consider the time-dependent characteristic of risk factors of hydropower project, the method of stochastic process simulating structure resistance and load effect is adopted. On the basis of analyzing the structure characteristics and mode of operation, the operation safety risk rate assessment model of hydropower project is established on the comprehensive application of the improved analytic hierarchy process, the time-dependent reliability theory and the risk rate threshold. A scheme to demonstrate the time-dependent risk rate assessment method for an example of the earth-rock dam is particularly implemented by the proposed approach. The example shows that operation safety risk rate is closely related to both the service period and design standard; considering the effect of time-dependent, the risk rate increases with time and the intersection of them reflects the technical service life of structures. It could provide scientific basis for the operation safety and risk decision of the hydropower project by predicting the trend of risk rate via this model.

Keywords： operation safety of hydropower project     risk analysis     risk rate assessment     time-dependent reliability     improved analytic hierarchy process    

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Convergence of time-varying networks and its applications Research Articles

Qingling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000160

Abstract: In this study, we present the convergence of . Then, we apply the convergence property to cooperative control of nonlinear multiagent systems (MASs) with (UCDs), and illustrate a new kind of based control algorithms. It is proven that if the are cut-balance, the convergence of nonlinear MASs with nonidentical UCDs is achieved using the presented algorithms. A critical feature of this application is that the designed algorithms can deal with nonidentical UCDs by employing conventional s. Finally, one simulation example is given to illustrate the effectiveness of the presented algorithms.

Keywords： Time-varying networks     Unknown control directions     Nussbaum-type function     Cut-balance condition    

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Fully stochastic analysis method for structural time-independent reliability

Du Bin,Xiang Tianyu,Zhao Renda

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 108-112

Abstract:

In order to effectively evaluate existed bridges' reliability, the effect of bridge service time on bridge reliability was considered. To extend the so-called semi-stochastic process model for specified in the design code in analysis reliability for existing structure, assuming that the structural resistances and the action effects are independent, based on the characteristics of the resistance and action effects variation with time, considering the resistance is an independent increment process and calculating the self-revelation coefficient of resistance, an approximate algorithm of failure probability was developed. And a fully stochastic process model was developed to analysis time-dependent reliability. Through the example,this method is simple and convenient and can supply a basis for structural assessment and service life prediction.

Keywords： existing structure     stochastic process     time-dependent reliability     action effects     resistance deterioration    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract:

A new estimation method based on modified performance index is proposed for time-varying process to avoid the ill-condition of least squares method. Based on the new method,a series of new recursive algorithms such as the new recursive least squares algorithm,the instrumental variable algorithm are constructed. The new identification method can ease the ill-condition and improve the identification accuracy without using the additional signals. Moreover, without additional computation,it is suitable for engineering practice very much. Both simulation results and practical operation show the new identification algorithm is effective. In this paper, the justification of this modified algorithm is proved.

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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Controllability of fractional-order damped systems with time-varying delays in control Research Articles

Bin-bin He, Hua-cheng Zhou, Chun-hai Kou,hebinbin45@126.com,hczhou@amss.ac.cn,kouchunhai@dhu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900736

Abstract: In this study, we focus on the of in linear and nonlinear cases with multiple in control. For the linear system based on the Mittag-Leffler matrix function, we define a , which is useful in judging whether the system is controllable or not. Furthermore, in two special cases, we present serval equivalent controllable conditions which are easy to verify. For the nonlinear system, under the of its corresponding linear system, we obtain a sufficient condition on the nonlinear term to ensure that the system is controllable. Finally, two examples are given to illustrate the theory.

Keywords： 可控性；分数阶阻尼系统；时变时滞；Gramian矩阵    

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SIoTFog: Byzantine-resilient IoT fog networking None

Jian-wen XU, Kaoru OTA, Mian-xiong DONG, An-feng LIU, Qiang LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1546-1557 doi: 10.1631/FITEE.1800519

Abstract:

The current boom in the Internet of Things (IoT) is changing daily life in many ways, from wearable devices to connected vehicles and smart cities. We used to regard fog computing as an extension of cloud computing, but it is now becoming an ideal solution to transmit and process large-scale geo-distributed big data. We propose a Byzantine fault-tolerant networking method and two resource allocation strategies for IoT fog computing. We aim to build a secure fog network, called “SIoTFog,” to tolerate the Byzantine faults and improve the efficiency of transmitting and processing IoT big data. We consider two cases, with a single Byzantine fault and with multiple faults, to compare the performances when facing different degrees of risk. We choose latency, number of forwarding hops in the transmission, and device use rates as the metrics. The simulation results show that our methods help achieve an efficient and reliable fog network.

Keywords： Byzantine fault tolerance     Fog computing     Resource allocation     Internet of Things (IoT)    

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Study of the Variable Load While Estimating Existing Bridge Structure

Suo Qinghui,Qian Yongjiu,Zhang Fang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 52-55

Abstract:

On the basis of design load in force, the revised factors of variable load used in estimating existing bridge structures are given according to the theory, which is the probability that the load used exceeds the reservice term should be equal to the probability that the load used in design exceeds the service term. The theory of time-dependent ability is adopted to evaluate the residual service life of structure and a method is adopted to revise the variable load.

Keywords： bridge structure     variable load     equal exceeding probability     time-dependent ability     re-service life    

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Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 36-42

Abstract:

By setting a sinusoidal pulsed flow generator and an air chamber at the head and midst of conduit respectively , and elaborately structuring conditions of water jet system , a strong hydraulic resonance can be induced and pressure amplitude at nozzle can be greatly promoted . The mathematical- physical model of the system is illuminated with characteristics finite difference equations of hydraulic transient and solved by variable time step method . The conditions of desirable resonance are searched by direct search algorithm of Matlab . The sinusoidal pulsed flow generator is composed of a constant discharge pump and a piston cylinder fluctuating sinusoidally in volume . The constant discharge is provided by an electric piston pump driven by cam mechanism , and the sinusoidal volume fluctuation of the cylinder is produced by motion of piston driven by cam or crankshaft mechanism .

Keywords： pulsed water- jet     hydraulic resonance     method of characteristics     variable time step method     Matlab     direct search algorithm     sinusoidal pulsed flow generator    

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New results on impulsive type inertial bidirectional associativememory neural networks Research Articles

Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 324-339 doi: 10.1631/FITEE.1900181

Abstract: This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects. New and practical conditions are given to study the existence, uniqueness, and global exponential stability of anti-periodic solutions for the suggested system. We use differential inequality techniques to prove our main results. Finally, we give an illustrative example to demonstrate the effectiveness of our new results.

Keywords： Inertial neural networks     Anti-periodic solutions     Global exponential stability     Impulsive effect     Time-varying delay     Bidirectional associative memory    

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Analysis and Study of New Type Hydrostatic Bearing Restrictor With Very Good Restrictive Performance

Meng Xinzhai,Meng Zhaoyan

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 49-52

Abstract:

The new type restrictor of hydrostatic bearing has many good and useful restrictive performances： ①According to the analysis in this paper, the restrictive parameter index must be preserved b≥3.② When extra load forced on the bearing fluid pocket, the pocket pressure is increased by the additional load at once. At this time, the pocket pressure is applied to the end area of valve also. Therefore, the valve will be changed along axis by the increased fluid pressure. The incremental value of restrictive parameter will be increased at the same time. As a result, the new type restrictor will be supplied with more fluid flow. The bearing clearance may maintain nearly constant. ③There are three new types of restrictors： new type variable clearance slide valve, new type clearance sheat and new type variable diameter capillary. It has advantages, such as simple construction, low cost and smaller volume.

Keywords： variable clearance sliding valve     variable clearance sheet     variable diameter capillary     index of restrictive parameter    

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Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints Research Article

Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000692

Abstract: This paper investigates the issue of event-triggered adaptive state-constrained control for multi-input multi-output uncertain nonlinear systems. To prevent asymmetric time-varying from being violated, a tan-type is established to transform the considered system into an equivalent “non-constrained” system. By employing a smooth switch function in the virtual control signals, the singularity in the traditional dynamic surface control can be avoided. Fuzzy logic systems are used to compensate for the unknown functions. A suitable event-triggering rule is introduced to determine when to transmit the control laws. Through Lyapunov analysis, the closed-loop system is proved to be semi-globally practical stable, and the are never violated. Simulations are provided to evaluate the effectiveness of the proposed approach.

Keywords： 事件触发控制；非线性映射；自适应模糊控制；有限时间；状态约束    

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Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm

Xiqian Luo, Zhaoyang Zhang,ning_ming@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900320

Abstract: While the Nyquist rate serves as a lower bound to sample a general bandlimited signal with no information loss, the sub-Nyquist rate may also be sufficient for sampling and recovering signals under certain circumstances. Previous works on achieved dimensionality reduction mainly by transforming the signal in certain ways. However, the underlying structure of the sub-Nyquist sampled signal has not yet been fully exploited. In this paper, we study the fundamental limit and the method for recovering data from the sub-Nyquist sample sequence of a linearly modulated baseband signal. In this context, the signal is not eligible for dimension reduction, which makes the information loss in inevitable and turns the recovery into an . The performance limits and data recovery algorithms of two different schemes are studied. First, the minimum normalized Euclidean distances for the two sampling schemes are calculated which indicate the performance upper bounds of each sampling scheme. Then, with the constraint of a finite alphabet set of the transmitted symbols, a modified is presented for efficient data recovery from the sub-Nyquist samples. The simulated bit error rates (BERs) with different schemes are compared with both their theoretical limits and their Nyquist sampling counterparts, which validates the excellent performance of the proposed data recovery algorithm.

Keywords： Nyquist-Shannon sampling theorem     Sub-Nyquist sampling     Minimum Euclidean distance     Under-determined linear problem     Time-variant Viterbi algorithm    

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Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond Research Articles

Zhao Yi, Weixia Zou, Xuebin Sun,yz17tx@bupt.edu.cn,zwx0218@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 777-789 doi: 10.1631/FITEE.2000515

Abstract: (mmWave) has been claimed as the viable solution for high-bandwidth s in 5G and beyond. To realize applications in future s, it is important to take a robust mmWave vehicular network into consideration. However, one challenge in such a network is that mmWave should provide an ultra-fast and high-rate data exchange among vehicles or vehicle-to-infrastructure (V2I). Moreover, traditional real-time strategies are unavailable because vehicle mobility leads to a fast variation mmWave channel. To overcome these issues, a approach for mmWave V2I communications is proposed in this paper. Specifically, by considering a fast-moving vehicle secnario, a corresponding mathematical model for a fast channel is first established. Then, the temporal variation rule between the base station and each mobile user and the determined direction-of-arrival are used to predict the channel prior information (PI). Finally, by exploiting the PI and the characteristics of the channel, the channel is estimated. The simulation results show that the scheme in this paper outperforms traditional ones in both normalized mean square error and sum-rate performance in the mmWave vehicular system.

Keywords： 大规模多入多出；毫米波；信道估计；车辆通信；时变    

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Industrial Application of a Deep Purification Technology for Flue Gas Involving Phase-Transition Agglomeration and Dehumidification Article

Jianmin Liu, Fahua Zhu, Xiuyuan Ma

Engineering 2018, Volume 4, Issue 3,   Pages 416-420 doi: 10.1016/j.eng.2018.05.009

Abstract:

A moist plume forms when the flue gas emitted from wet desulfurization equipment exits into the ambient air, resulting in a waste of water resources and visual pollution. In addition, sulfur trioxide (SO3), water with dissolved salts, and particles in the wet flue gas form secondary pollution in the surrounding atmosphere. In this study, a deep purification technology for flue gas involving phase-transition agglomeration and dehumidification (PAD) is proposed. This deep purification technology includes two technical routes: the integrated technology of phase-transition agglomeration and a wet electrostatic precipitator (PAW); and the integrated technology of phase-transition agglomeration and a mist eliminator (PAM). Industrial applications of PAW and PAM were carried out on 630 and 1000 MW coal-fired units, respectively. The results show that the average amount of recycled water obtained from wet flue gas by means of PAD is more than 4 g·(kg·°C)–1. Decreasing the wet flue gas temperature by 1.5–5.3 °C allows 5%–20% of the moisture in the flue gas to be recycled; therefore, this process could effectively save water resources and significantly reduce water vapor emissions. In addition, the moist plume is effectively eliminated. With the use of this process, the ion concentration in droplets of flue gas is decreased by more than 65%, the SO3removal efficiency from flue gas is greater than 75%, and the removal efficiency of particulate matter is 92.53%.

Keywords： Moist plume     Phase-transition agglomeration     Dehumidification     Dissolved salts     SO3     Particulate matter    

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Investigation of the Influence of Pitch/Lag on Helicopter AirResonance Stability

Xue Haifeng,Xiang Jinwu,Zhang Xiaogu,Li Shuqiang

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 58-62

Abstract:

The influence of pitch/lag coupling on helicopter air resonance is investigated by the methods of multi- blade coordinates transformation and complex coordinates transfer in this paper.  First,  helicopter air resonance equations of motion considering pitch/lag coupling is derived,  related analysis model and calculation programs are built to study the effect of pitch/lag coupling on helicopter air resonance through the eigenvalue of the system.  Second,  through the eigenvector and the analysis of the approximate expression of mutual excitation of different degrees of freedom,  the explanations of the helicopter air resonance considering pitch/lag coupling are explicated.  The results indicated that the positive pitch/lag coupling can restrain the instability of helicopter rotor/body coupling system and the system becomes strongly stabilized in the case of considering flap/lag structure coupling and pitch/lag coupling together.

Keywords： helicopter     dynamics instability     helicopter air resonance     pitch/lag coupling    

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Title Author Date Type Operation

Operation safety risk analysis method of hydropower project considering time-dependent effect

Zhang Sherong,YanLei

Journal Article

Convergence of time-varying networks and its applications

Qingling Wang,qlwang@seu.edu.cn

Journal Article

Fully stochastic analysis method for structural time-independent reliability

Du Bin,Xiang Tianyu,Zhao Renda

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article

Controllability of fractional-order damped systems with time-varying delays in control

Bin-bin He, Hua-cheng Zhou, Chun-hai Kou,hebinbin45@126.com,hczhou@amss.ac.cn,kouchunhai@dhu.edu.cn

Journal Article

SIoTFog: Byzantine-resilient IoT fog networking

Jian-wen XU, Kaoru OTA, Mian-xiong DONG, An-feng LIU, Qiang LI

Journal Article

Study of the Variable Load While Estimating Existing Bridge Structure

Suo Qinghui,Qian Yongjiu,Zhang Fang

Journal Article

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Journal Article

New results on impulsive type inertial bidirectional associativememory neural networks

Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO

Journal Article

Analysis and Study of New Type Hydrostatic Bearing Restrictor With Very Good Restrictive Performance

Meng Xinzhai,Meng Zhaoyan

Journal Article

Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints

Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com

Journal Article

Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm

Xiqian Luo, Zhaoyang Zhang,ning_ming@zju.edu.cn

Journal Article

Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond

Zhao Yi, Weixia Zou, Xuebin Sun,yz17tx@bupt.edu.cn,zwx0218@bupt.edu.cn

Journal Article

Industrial Application of a Deep Purification Technology for Flue Gas Involving Phase-Transition Agglomeration and Dehumidification

Jianmin Liu, Fahua Zhu, Xiuyuan Ma

Journal Article

Investigation of the Influence of Pitch/Lag on Helicopter AirResonance Stability

Xue Haifeng,Xiang Jinwu,Zhang Xiaogu,Li Shuqiang

Journal Article