另外尝试实现了不确定性故障诊断。
加之网络中存在一定的观测噪声，互联网俨然变成了一个复杂的动态系统，这为传统确定性故障定位技术提出了新的要求和挑战。
Coupled with the observation noise in the network environment, the Internet has become a complex dynamic system, which a great challenge for traditional deterministic fault localization technique.
当实例位于恰当的位置并运行了多次之后，就可以使用日志查明错误或使用后处理程序脚本确定性能或故障趋势。
After the instance is in place, it is then possible to use the logs to pinpoint errors or use the post-processing scripts to identify performance or failure trends over multiple runs of the instance.
传统的卫星故障检测和诊断应用的是确定性推理。
Traditionally, certainty reasoning theory is used to detect and diagnose satellite faults.
分析了在构造机械加工故障诊断专家系统时领域知识的不确定性。
The uncertain problem of the domain knowledge in building machining operation expert system for fault diagnosis is analysed.
机械故障诊断中存在着许多不确定性和知识冗余性，而粗糙集理论是一种新型的处理不确定性信息的数学工具，粗糙集理论提供了对机械故障进行诊断全新的有效途径。
There exists a lot of uncertainty and redundant knowledge in machinery fault diagnosis, while rough set theory is a new mathematical tool to deal with uncertain information.
提出了一种具有建模不确定性的非线性系统在线故障检测方法。
A kind of on-line fault detection scheme in nonlinear systems with modeling uncertainty is presented.
基于证据理论的电子装备故障诊断，采用信任函数作为不确定性度量工具。
Fault diagnosis of electronic equipment based on evidence theory, the trust function is adopted as uncertainty measurement tool.
发电机系统的大部分运行参数间无严格的逻辑和定量关系，其故障现象与原因及机理之间具有很大的不确定性。
A majority of run parameters of Generator system have no strict relation of logic and quantification. Fault phenomenon and reason, mechanism have more uncertainty.
基于观测器的动态系统故障诊断技术的可行性和应用性，关键是对系统不确定性因素具有良好的鲁棒性。
A key for the feasibility and applicability of the techniques of observer-based fault diagnosis for dynamic systems is a satisfactory robustness with respect to system uncertainties.
故障诊断规则中判断条件的冗余、不完全和不确定性不利于实际应用。
In engineering applications, the incompleteness, imprecision, and redundancy in rules of fault diagnosis often lead to inconvenience.
故障树分析、事件树分析、事故序列定量评定以及不确定性分析等。
The study includes fault tree analysis, event tree analysis, accident sequence quantification and uncertainty analysis.
尽管在驱动器故障补偿控制领域已经取得了很大的进展，但仍有很多重要的特别是那些围绕系统不确定性的问题尚未解决。
Despite substantial progress in the area of actuator failures compensation, there are still many important problems to be solved, in particular those involving system uncertainties.
由于大型电力变压器具有互补性、冗余性和较强的不确定性等特点，该文将信息融合的基本思想引入到变压器的故障诊断中。
As the fault information of large power transformers has characteristics such as, complementarity, redundancy and uncertainty, the basic ideas of information fusion are introduced in this paper.
自适应控制对这样的驱动器故障补偿方案是一个合适的选择，它能够适应系统参数、结构和环境的不确定性。
Adaptive control, which is capable of accommodating system parametric, structural, and environmental uncertainties, is a suitable choice for such actuator failures compensation schemes.
该方法不仅使得系统在传感器发生故障时仍具有完整性，而且还使得闭环系统对于允许的参数不确定性在指定的圆盘区域内具有鲁棒稳定性。
By using this method, the closed-loop system not only keeps integrity but also is robust stable in given disk area for all admission parameter uncertainties when sensor faults occur.
该文研究了一类含有时变范数有界不确定性和执行器故障的广义系统的鲁棒可靠性控制设计问题。
The problem of robust reliable control design for the generalized systems with time-varying norm-bounded parameter uncertainties and actuator failures is studied in this paper.
针对控制系统中模拟电路故障诊断时的不确定性问题，提出了将模糊理论和神经网络相结合的方法。
In order to handle the uncertainties in fault diagnosis of analog circuits used in the control system, a method, which combines fuzzy theory and neural network, was proposed.
输电线路故障受到许多不确定性因素影响，传统测距算法不能很好地解决输电线路测距问题。
As affected by many uncertain factors of transmission lines, conventional fault locating methods can't locate the faults of transmission lines very well.
传统的测试性验证试验样本选取方法没有考虑测试对象的各故障模式之间的复杂性与不确定性关系。
The complex and uncertain relationship among failures is ignored in failure sample selection based on traditional testability demonstration experiment method.
针对一类具有模型不确定性且状态部分可测的非线性系统，提出了一种基于鲁棒自适应技术的传感器偏差故障检测与分离方法。
This paper is concerned with the problem of robust fault detection for a class of discrete-time systems with norm-bounded uncertainties and time delays in state.
研究了受不确定性扰动影响下奇异系统的鲁棒故障诊断滤波器设计问题。
The robust fault detection filter design for singular systems with uncertain disturbance is studied.
结果表明，该方法能够有效地提高故障诊断的可靠性，减小诊断的不确定性。
The results show that the method can improve the reliability effectively and decrease the uncertainty markedly.
通过可测试值计算和规范式不确定性组与最优可测试成分组的确定，可以诊断故障元件的范围。
Therefore the work for the fault location can only operate in the elements of this group.
依据这种模型，本文设计了可拓不确定性推理机，并将其应用到UA 5000接入网设备故障诊断专家系统的设计中。
In terms of this model, a novel extension reasoning machine with uncertainty is designed. Based on this reasoning machine, a fault diagnosis expert system of UA5000 is realized.
由于实际工程中非线性和建模不确定性广泛存在，近年来非线性系统的鲁棒故障诊断受到广泛关注。
Due to the universal existence of nonlinearities and model uncertainties in practice, robust fault diagnosis of nonlinear systems has received much more attention in recent years.
由于励磁涌流的多变性和不确定性，给基本故障的识别造成困难，因而出现保护误动。
Polytrope and uncertainty of exciting surge make it difficult to identify from faults which result in malfunction of protection.
由于励磁涌流的多变性和不确定性，给基本故障的识别造成困难，因而出现保护误动。
Polytrope and uncertainty of exciting surge make it difficult to identify from faults which result in malfunction of protection.
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