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搜索结果: 1-15 共查到工学 Fault Diagnosis相关记录20条 . 查询时间(0.328 秒)
Electronic Fuel Control (EFC) valve regulates fuel flow to the injector fuel supply line in the Cummins Pressure Time (PT) fuel system. The EFC system controls the fuel flow by means of a variable ori...
Lithium ion (Li-ion) batteries have become integral parts of our lives; they are widely used in applications like handheld consumer products, automotive systems, and power tools among others. To extra...
Advanced statistical models can help industry to design more economical and rational investment plans. Fault detection and diagnosis is an important problem in continuous hot dip galvanizing. Increasi...
The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault. The current fault diagnosis methods using historical records are...
The vibration signals of machinery with various faults often show clear nonlinear characteristics. Currently, fractal dimension analysis as the common useful method for nonlinear signal analysis is a ...
Based on feature compression with Orthogonal Locality Preserving Projection (OLPP), a novel fault diagnosis model is proposed in this paper to achieve automation and high-precision of fault diagnosis ...
针对齿轮箱轴承振动信号故障信息容易被噪声淹没,且具有非线性、非平稳特性的问题,提出了基于经验模态分解(EMD)和Duffing振子的轴承故障诊断方法。首先对原始振动信号进行经验模态分解,找到包含轴承故障信息的固有模态函数(IMF),然后利用Duffing振子的分岔图找到混沌振子相轨迹发生变化的内部激励力分界值,并将Duffing 振子的内部激励力频率设定为轴承故障特征频率,最后从混沌振子输出相轨迹...
A novel fault detection and diagnosis method was proposed, using dynamic simulation to monitor chemical process and identify faults when large tracking deviations occur. It aims at parameter failures,...
分析了温室环境控制系统中执行机构、传感器、控制柜、控制软件的主要故障;根据故障可能对系统造成的损失将故障分为4个级别,并提出了相应的处理策略,编制了完整的智能故障诊断软件。试验结果表明,故障诊断识别正确,系统运行可靠。
In the modern world, computing is essential in all aspects of manufacturing activity. Computers have brought to life terms like artificial intelligence, and have played a critical role in reinvention ...
In this paper, a multiblock kernel principal component analysis (MBKPCA) algorithm is proposed. Then a new fault detection and diagnosis approach based on MBKPCA is proposed to monitor large-scale pro...
The work presented in this paper focuses on the design of robust Fault Detection and Isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models. A suf...
Actuator fault diagnosis is often studied under strong assumptions on available sensors. Typically, it is assumed that the sensors are either fault free or sufficiently redundant. The purpose of this ...
Several procedures for sensor fault detection and isolation (FDI) applied to a simulated model of a commercial aircraft are presented. The main contributions of the paper are related to the design and...
Fault diagnosis and fault tolerant control have become critically important in modern complex systems such as aircrafts and petrochemical plants. Since no system in the real world can work perfectly a...

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