• Aiming at a class of nonlinear system, designs a kind of sliding mode neural network observer for fault detection and diagnosis.

    针对一类非线性系统,设计了一种用于故障检测和诊断的滑模神经网络观测器。

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  • With the presence of time-delay and packet dropout effects in the network, the problem of robust fault detection for a class of nonlinear networked control systems is investigated.

    针对同时存在网络时延和数据包丢失的网络环境,研究了一类非线性网络控制系统的鲁棒故障检测问题。

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  • A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.

    采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。

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  • Fuzzy basis function network (FBFN) based on t s fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.

    给出了基于TS模型的模糊基函数网络(FBFN),并提出了一种基于FBFN的未知系统故障信息检测通用方法。

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  • A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.

    通过研究网络流量异常检测,提出一种新的基于自适应自回归(aar)模型的在线故障检测算法。

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  • The real-time attribution, fault detection and fault recovery, network security of industrial Ethernet were also discussed in this thesis.

    研究并讨论将传统以太网移植到工业控制领域所必须解决的实时性、快速故障探测与自恢复、网络安全等关键技术问题。

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  • Furthermore, by using fuzzy mathematics and network analysis, a fault attaching function was put forward and applied to fault detection in the tolerance circuit.

    在此基础上,应用网络分析与模糊数学,提出了一种故障隶属函数,据此进行容差电路的故障定位。

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  • Aim at the issue of on-line detection and fault diagnosis of power transformer, a project of multi-sensor in-formation fusion combined with embedded network is proposed.

    针对电力变压器在线监测与故障诊断问题,提出了基于多传感器信息融合与嵌入式网络相结合的解决方案。

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  • In the processing of fault detection and isolation, master and slave device achieve the interaction of information by the optical fiber communication network.

    在配网故障的处理过程中,主机和从机通过光纤通信网络进行信息的交互。

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  • Considered the lag of the fault detection, the design introduces a specific compound network architecture that makes the software convenient for maintainability and extension.

    考虑工业系统故障预知的滞后,软件设计中采用了特殊的复合神经网络结构以便于维护和拓展。

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  • Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.

    通过仿真,与前馈时延网络与对角递归网络的比较研究,说明了在实时故障诊断系统中输出递归网络结构的优越性。

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  • The experimental research has shown that the artificial neural network has been successful employed in the fault detection of the large turbo-pump liquid rocket engine.

    实验研究表明神经网络可以成功地应用于大型泵压式液体火箭发动机的故障检测。

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  • Based on probability analysis, a new method of fault detection and location in distribution network grounding with high resistance is proposed in this paper.

    针对配电网系统的单相高阻接地故障,提出了一种基于概率分析的故障检测与定位方法。

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  • It can decrease fault alert and failure alert while improving detection efficiency. I think it has practicability for current high-speed enterprise network.

    它能够在保证检测效率的同时,尽量减少误报和漏报,对当前高速的企业网络有一定的实用性。

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  • In order to detect the main faults well and truly, a new approach of fault detection for gas valves was proposed based on negative selection mechanism of immune system and neural network.

    为了能够准确地检测出气阀的主要故障,从免疫系统反面选择机理出发,结合神经网络,提出了基于免疫神经网络的活塞压缩机气阀故障检测的方法。

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  • The main achievements of the project include: (1) several new approaches for fault detection of Networked Control Systems (NCS) with random and unknown network-induced delay have been proposed.

    主要成果包括:(1)提出了多种对未知随机网络延迟具有鲁棒性的网络化控制系统(NCS)的故障检测方法。

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  • Based on the theory of integrated neural network, a hybrid integrated NN fault detection method is introduced in this paper. Its structure and arithmetic are fully discussed.

    基于集成神经网络故障诊断理论,提出了一种混合型集成神经网络故障诊断方法,阐述了其结构和算法。

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  • Intrusion tolerant technology is the core of the third generation of network security in back of information protection, intrusion detection and fault tolerance technology.

    入侵容忍技术是继信息保护技术和入侵检测、容错技术之后的第三代网络安全的核心。

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  • However, almost all the existing fault detection methods for NCS suppose that the network-induced delay is constant or can be gained online.

    但是目前已有的大部分故障检测方法均假定网络诱导时延为常数或可以在线获取。

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  • However, almost all the existing fault detection methods for NCS suppose that the network-induced delay is constant or can be gained online.

    但是目前已有的大部分故障检测方法均假定网络诱导时延为常数或可以在线获取。

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