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1)  visual malfunction consultation
故障可视会诊
1.
This article systematically discusses principle and accomplishment method of the technology for the asymptotic image compressing coding,introduces the apply of the coding technology in the system of remote visual malfunction consultation between the ship and the land.
本文系统论述了渐进图像压缩编码技术的原理与实现方法,介绍了该编码技术在岸船远程故障可视会诊系统中的应用。
2)  fault diagnosisability
故障可诊断
3)  faults monitoring and diagnosis
故障监视和诊断
1.
In order to meet the general demands of faults monitoring and diagnosis of electric drives, and by taking the safety and efficiency into account, a general fault model has been established to handle the faults of electric drives in this paper.
为了满足电气传动装置的故障监视和诊断的通用性要求,本文从电气传动装置运行的安全可靠性和高效性出发,根据对故障处理的要求,建立了电气传动装置的通用故障模型,依据这种模型,研制了电气传动装置的故障监视和诊断的实时专家系统开发工具。
4)  fault diagnosability
故障可诊断性
1.
This paper studies the definition of diagnosability and the computation method of diagnosability based on information entropy,analyzes the influence of the transformer fault diagnostic precision to transformer fault diagnosability.
研究了可诊断性的定义以及基于信息熵的可诊断性计算方法,在实际数据的基础上分析了变压器故障诊断的精度对变压器故障可诊断性的影响。
2.
This paper researched the approaches to fault diagnosis and the problem of fault diagnosability for systems with both the delayed states and delayed measurements.
研究同时含有状态时滞和测量时滞的时滞系统的故障诊断方法及故障的可诊断性问题,提出一种同时对状态时滞和测量时滞进行变换的无时滞变换方法,并提出一种新的故障诊断器的构造方法,同时给出时滞系统的故障可诊断性的判据。
3.
The approach of fault diagnosis and the problem of fault diagnosability are researched for linear systems with state delays.
提出一种新颖的基于降维观测器的故障诊断方法,并给出故障可诊断性的判据。
5)  reusable intelligent fault-diagnosis-system
可重用的智能故障诊断
1.
This paper describes the merit and necessity of developing reusable intelligent fault-diagnosis-system based on WEB, then discusses the feasibility of reusing some kinksof intelligent engines, and analyses how to use the Java agent architecture and java xmlfunction in this system.
论述了在WEB环境下开发可重用的智能故障诊断系统的优势和必要性,并讨论了几种智能引擎进行知识重用的可能性及用Java Agent体系结构和XML技术的实现方法。
6)  Reliability & Error Diagnosis
可靠性及故障诊断
补充资料:会诊
几个医生共同诊断疑难病症:他的病明天由内科医生~。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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