Induction motor fault detection and diagnosis using a current state space pattern recognition

In the last few decades the continuous monitoring of complex dynamic systems has become an increasingly important issue across diverse engineering areas. This paper presents a pattern recognition based system that uses visual-based efficient invariants features for continuous monitoring of induction motors. The procedures presented here are based on the image identification of the 3-D current state space patterns that allow the identification of distinct fault types and, furthermore, their corresponding severity. This automatic fault detection system deals with time-variant electric currents and is based on the identification of three-phase stator currents specified patterns. Several simulation and experimental results are also presented in order to verify the effectiveness of the proposed methodology.     

粗糙集及PSO优化BP网络的故障诊断研究

针对PP神经网络故障诊断存在网络结构复杂、训练时间长、精度不高的问题,将粗糙集、微粒群算法、遗传算法引入到柴油机故障诊断中,提出了基于粗糙集理论与改进PP神经网络相结合的柴油机故障诊断算法。算法采用自组织映射方法对连续属性离散化,利用粗糙集理论对特征参数进行属性约简,使用微粒群算法优化PP网络结构,从而缩短训练时间,有效提高故障诊断的准确度。最后用柴油机的实际诊断结果验证了该算法的可行性、快速性和准确性。     

一种调和序列生成及其在故障定位中的应用

为了提高软件的可靠性,在软件运行发生故障时,快速、准确地定位故障点成为非常有意义的研究课题。与以往方法不同,在将故障运行序列和最部近运行序列进行差异对比前,为了避免选取第一条最近成功路径时引起的“盲区”使得后期搜索空间加大,引入了生物学基因序列比对原理,对最部近运行序列不是通过编辑距离比较进行选取,而是通过一条调和序列进行处理。实验表明,方法的故障定位效果较好。     

Failure detection and consensus in the crash-recovery model

Summary. We study the problems of failure detection and consensus in asynchronous systems in which processes may crash and recover, and links may lose messages. We first propose new failure detectors that are particularly suitable to the crash-recovery model. We next determine under what conditions stable storage is necessary to solve consensus in this model. Using the new failure detectors, we give two consensus algorithms that match these conditions: one requires stable storage and the other does not. Both algorithms tolerate link failures and are particularly efficient in the runs that are most likely in practice – those with no failures or failure detector mistakes. In such runs, consensus is achieved within time and with 4 n messages, where is the maximum message delay and n is the number of processes in the system. Received: May 1998 / Accepted: November 1999     

TMN告警信息存储及预处理技术

对原始告警信息的完整存储以及预处理是本地电话网网络管理系统故障管理的核心功能。本文提出了一种基于有限状态机的告警信息预处理模型 ,并应用该模型对检测到的告警消息在时间和空间上进行相关处理。工程应用表明 ,该模型对故障的辨识、诊断和定位提供了强有力的支持。     

铁路动车组故障诊断知识库管理系统的设计

针对我国动车组维修的特点,为动车组维修人员能够及时、快速地对动车组发生的故障进行分析和处理,运用人工智能的思想,结合数据库技术,设计了一套知识表示和知识库管理系统,对动车组故障信息及其原因信息、处理措施信息进行维护,处理了知识的正确性、完备性、冗余性、一致性检验,并在一定程度上实现了知识处理的自动化,对我国高速铁路动车组维修工作起到辅助支持作用．有很强的实际意义。     

铁路动车组故障诊断知识库管理系统的设计

针对我国动车组维修的特点,为动车组维修人员能够及时、快速地对动车组发生的故障进行分析和处理,运用人工智能的思想,结合数据库技术,设计了一套知识表示和知识库管理系统,对动车组故障信息及其原因信息、处理措施信息进行维护,处理了知识的正确性、完备性、冗余性、一致性检验,并在一定程度上实现了知识处理的自动化,对我国高速铁路动车组维修工作起到辅助支持作用,有很强的实际意义。     

学校网络机房故障与维修分析

从目前来看,学校网络机房的管理中管理者更多关注的是技术上的维护和保障工作,缺乏维修理念、缺乏对故障信息、维修信息的系统分析、缺乏对维修的效一费分析以及有效度的分析,因此,网络机房的维修工作存在着盲目性,缺乏计划性和目标性。所以应加强网络机房的科学化管理,加强对机房故障信息的统计分析,预防并减少故障,改善网络机房设备的技术状态;加强可靠性为主的维修理念,提高机房维修的有效度,确保机器本身的正常运转,延长使用寿命,更保障教学的顺利进行：本文通过对网络机房故障信息和维修信息的记录分析,得出对机房故障、维修方面有实效性的管理措施和对策。     

On basic properties of fault-tolerant multi-topology routing

Multi-topology routing has recently gained popularity as a simple yet efficient traffic engineering concept. Its basic purpose is to separate different classes of network traffic, which are then transported over disjoint logical topologies. Multi-topology routing is used as a basis for implementation of an IP fast reroute scheme called Multiple Routing Configurations (MRC).MRC has a range of attractive properties, but they do come at a cost. In order to guarantee recovery from any single link or node failure in the network, MRC has to maintain several logical topologies and thus an increased amount of routing information. The number of the logical topologies in MRC need not be large; even simple heuristic algorithms often yield good results in practice. However, why this is the case is not fully understood yet.In this paper, we introduce a theoretical framework for fault-tolerant multi-topology routing (FT-MTR). MRC is a practical implementation of FT-MTR in connectionless IP networks. We use FT-MTR to study how the internal topological structure of the communication network relates to two important problems. The first problem is minimizing the number of logical topologies and thus the routing state in FT-MTR. We show how to use the sets of nodes that separate the topology graph to devise an advanced heuristic for “intelligent” construction of the logical topologies. Finding the separating sets in a topology graph is computationally demanding; we present an algorithm that performs well in tested real network topologies. We evaluate the separation-set based heuristic for the logical topology construction and show that it outperforms the known MRC heuristics.The second problem is the FT-MTR load distribution after a failure. We use the separating sets to devise a novel algorithm for failure load distribution. This algorithm does not require knowledge of the traffic demand matrix, still, our tests indicate that it performs as good as, or better than, known MRC load-distribution algorithms that do require the demand matrix as input.     

Design of a fault diagnosis scheme for a class of singular nonlinear systems

A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the process faults. This has led to stable observation error systems for both fault detection and diagnosis. A simulated numerical example is included to demonstrate the use of the proposed approach and encouraging results have been obtained.