故障检测
- fault detect
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分析和研究了网格环境中故障检测、性能改变等问题,探讨了基于GMA的三种典型监听结构模型,结合监听的关键技术,针对局部监听提出了相应的参考模型。
In this paper , we analysised the fault detect , performance changes etc. in high-performance computational grid environments . Then we discussed three kinds of typical GMA-based monitoring architecture model , with the major technology of monitoring , aim at the local monitoring .
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某型内燃机车不解体故障检测仪的研制与应用
The Development and Application of On-line Fault Detect Instrument for Some Type Diesel Locomotive
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基于Web的汽车故障检测专家系统的设计
Expert System of Diagnosing Automobile Malfunction Based on Web
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用easy控制继电器实现锅炉排渣系统故障检测报警
Fault Warning of Boiler Slag-off System by Using " easy " Control Relay
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线性时滞系统故障检测滤波器设计H∞优化方法
H_ ∞ Approach to Fault Detection Filter for Linear Time-delay Systems
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采样数据系统故障检测的H∞方法
H ∞ approach to fault detection in sampled-data systems
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IP网络中故障检测机制研究与实现
Study and implementation of failure detection in IP network
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基于ARM微处理器的直流系统接地故障检测装置的设计与实现
Design and Implement of DC System Grounding Fault Detecting Device Based on ARM
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考虑故障检测率的可维修k/n(G)系统的可靠性研究
Reliability approach to repairable k / n ( G ) systems considering failure detection rate
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非线性系统的BP神经网络在线建模及故障检测
BP neural networks based on on line modelling and fault detection in nonlinear systems
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DSP在电动机故障检测仪中的应用
Application of DSP in motor fault detector
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包括在轨故障检测Agent、在轨故障识别Agent以及在轨故障预测Agent的设计与开发。
The design and development includes of on-board fault monitoring agent , on-board fault recognition agent and on-board fault forecast agent .
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卷积检测:一种新FFT的故障检测机制
Convolution detection : a new mechanism to detect fault for FFT
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基于PCA的火电厂锅炉过程故障检测与诊断
Fault Detection and Diagnosis Based on PCA for Thermal Boiler Processes
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GaAs集成电路芯片在片直接故障检测分析
Direct fault detection and analysis of GaAs IC 's chip on wafer
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其中多Agent组采用结合合同网模型与黑板模型的结构来协调组中各故障检测Agent工作。
Multi-Agent groups take the approach of combining contract net model with blackboard model to coordinate the work of fault detection among the groups .
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LOGO!在贮丝柜故障检测及安全保护中的应用
Application of LOGO ! in Failure Detection and Protection of Cut Filler Silo
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通过在简单数学模型和TE问题上的仿真实验证明:本文提出的改进的主元分析方法相对于传统PCA在故障检测效果上得到了进一步的改善。
Extensive testing on TE process simulation demonstrates effectiveness of the new method .
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基于动态故障检测的铁路信号发码器及其ASIC实现
Dynamic Fault-Detection Based Railway Signal Transmitter and its ASIC Implementation
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Bootstrap法在车辆故障检测中的研究及应用
Study and Application of Bootstrap Method in Vehicle Fault Detection Technology
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针对带有未知但有界(UnknownButBounded-UBB)噪声的非线性系统的建模及其故障检测问题,提出了一种集员辨识与T-S模糊模型相结合的非线性系统建模及其故障检测算法。
A modeling method is proposed and applied in fault detection for nonlinear systems with unknown but bounded noises .
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进而,对OPT方法中的故障检测函数进行了修正。
It is very important that we corrected the fault detection tactic of OPT method .
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基于Lipschitz指数熵的轴承故障检测方法
Fault Detection for Bearings Based on Signal Lipschitz Spectrum Entropy
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在Matlab中搭建模拟电网,分析支路电流特点以及直流电网接地故障检测中的主要问题。
Through building the DC power system model using Matlab software , to analyze the traits of branch currents , and main problems in grounding fault detection .
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然后在此基础上介绍了一种故障检测和分离(FDI)的方法,总结了FDI观测器的设计算法。
Then fault detection and isolation ( FDI ) approach based on this observer was introduced . The design algorithm of the FDI observer was summarized .
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结果表明,应用对比分析法成功地实现了对O2传感器的故障检测。
The test results show that the application of contrastive analysis method successfully accomplishes fault detection on oxygen Sensor .
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基于特征子空间的KPCA及其在故障检测与诊断中的应用
Feature subspace based KPCA and its application to fault detection and diagnosis
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本文主要从系统控制单元测试、大线管理器测试和采集站测试器三部分详细地介绍了Vision系统的故障检测功能。
This paper introduces its troubleshooting function in detail from its System Manage Unit ( SMU ) testing , Cable Manage Unit ( CMU ) testing and Line Acquisition Module ( LAM ) testing .
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这使得传统的基于SNMP的网络故障检测由于功能单一、效率低下等原因而陷入了困境。
This situation makes the traditional way of network fault detection relying on SNMP since the single function , low-level efficiency in trouble .
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研究了使用RBF网络进行多模态辨识的结构和其在多模态故障检测中的应用。
Multiple mode identification structure using radial basis function ( RBF ) neural network and its application to the multimodefailure detection is studied in this paper .