A Situational Awareness Method for Initial Insulation Fault of Distribution Network Based on Multi-Feature Index Comprehensive Evaluation

Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.

Coseismic vertical deformation of the M_S8.0 Wenchuan earthquake from repeated levelings and its constraint on listric fault geometry

The devastating Ms8.0 Wenchuan earthquake ruptured two large parallel thrust faults along the middle segment of the Longmenshan thrust belt. Preseismic and postseismic leveling data indicated the hanging wall of the Yingxiu-Beichuan-Nanba thrust fault mainly presented coseismic uplift with respect to the reference point at Pingwu county town, and the observed maximum uplift of 4.7 m is located at Beichuan county （Qushan town） which is about 100 m west of the fault scarp. The foot wall of the Yingxiu-Beichuan-Nanba thrust fault mainly showed subsidence with maximum subsidence of 0.6 m near the rupture. By employing a listric dislocation model, we found that the fault geometry model of exponential dip angle δ=88°×[1-exp（-9/h）] with depth of 18 km and uniform thrust-slip of 5.6 m could fit the observed coseismic vertical deformation very well, which verifies the listric thrust model of the Longmenshan orogenic zone.

The Research of the Equation Model on the System-level Fault Diagnosis

In this paper we propose an equation model of system-level fault diagnoses, and construct corresponding theory and algorithms. People can turn any PMC model on ex-test into an equivalent equation (or a system of equations), and find all consistent fault patterns based on the equation model. We can also find all fault patterns, in which the fault node numbers are less than or equal to t without supposing t-diagnosable. It is not impossible for all graphic models.

On Fault Diagnosis of Rotating Machinery Using Wavelet Time-division Scale Level Moment

Based on an in-depth study of wavelet gray moment, we proposed a concept of a time-division scale level moment and gave the specific definition; ulteriorly, we discussed the factors which affected the fault diagnosis ability of a time-division scale level moment. The analysis results in the caculation of six typical fault signals show that the time-division scale level moment can be used to display the detailed information of a wavelet gray level image, extract the signal＇s characteristics effectively, and distinguish the vibration fault. Compared to the method of a wave gray moment vector, the method mentioned in this paper can provide higher calculation speed and higher capacity of fault identification, so it is more suitable for online fault diagnosis for rotating machinery.

Deformation Evolution Characteristics Revealed by GPS and Cross-fault Leveling Data before the M_S8. 0 Wenchuan Earthquake

Based on GPS velocity during 1999-2007,GPS baseline time series on large scale during1999-2008 and cross-fault leveling data during 1985-2008,the paper makes some analysis and discussion to study and summarize the movement,tectonic deformation and strain accumulation evolution characteristics of the Longmenshan fault and the surrounding area before the MS8. 0 Wenchuan earthquake,as well as the possible physical mechanism late in the seismic cycle of the Wenchuan earthquake. Multiple results indicate that:GPS velocity profiles show that obvious continuous deformation across the eastern Qinghai-Tibetan Plateau before the earthquake was distributed across a zone at least 500 km wide,while there was little deformation in Sichuan Basin and Longmenshan fault zone,which means that the eastern Qinghai-Tibetan Plateau provides energy accumulation for locked Longmenshan fault zone continuously. GPS strain rates show that the east-west compression deformation was larger in the northwest of the mid-northern segment of the Longmenshan fault zone,and deformation amplitude decreased gradually from far field to near fault zone,and there was little deformation in fault zone. The east-west compression deformation was significant surrounding the southwestern segment of the Longmenshan fault zone,and strain accumulation rate was larger than that of mid-northern segment.Fault locking indicates nearly whole Longmenshan fault was locked before the earthquake except the source of the earthquake which was weakly locked,and a 20 km width patch in southwestern segment between 12 km to 22. 5 km depth was in creeping state. GPS baseline time series in northeast direction on large scale became compressive generally from 2005 in the North-South Seismic Belt,which reflects that relative compression deformation enhances. The cross-fault leveling data show that annual vertical change rate and deformation trend accumulation rate in the Longmenshan fault zone were little,which indicates that vertical activity near the fault was very weak and the fault was tightly locked. According to analyses of GPS and cross-fault leveling data before the Wenchuan earthquake,we consider that the Longmenshan fault is tightly locked from the surface to the deep,and the horizontal and vertical deformation are weak surrounding the fault in relatively small-scale crustal deformation. The process of weak deformation may be slow,and weak deformation area may be larger when large earthquake is coming. Continuous and slow compression deformation across eastern Qinghai-Tibetan Plateau before the earthquake provides dynamic support for strain accumulation in the Longmenshan fault zone in relative large-scale crustal deformation.

REVIEW OF HIGH LEVEL FAULT MODELING APPROACHES FOR MIXED-SIGNAL SYSTEMS

In the modern analogue design, Transistor Level Fault Simulation (TLFS) plays the im-portant part since every fault in the whole circuit has to be simulated at that level. Unfortunately, it is a very CPU intensive task even though it maintains the high accuracy. Therefore, High Level Fault Modeling (HLFM) and High Level Fault Simulation (HLFS) are required in order to alleviate the efforts of simulation. In this paper, different HLFM approaches are reviewed at the device level during last two decades. We clarify their domains of application and evaluate their strengths and current limitations. We also analyze causes of faults and introduce various test approaches.

The Influence of Thrust Fault Structure on Cross-fault Short-leveling Survey

Aiming at different variation patterns of cross-fault short-leveling before earthquakes,the paper establishes the 2-D finite-element models with different crustal stratification and fault occurrence perpendicular to Longmenshan fault zone. By contact analysis and viscoelastic finite element method,the influence of fault structure on cross-fault short-leveling is obtained under the same constraint conditions,the results show that:with the increase of the horizontal projection distance of fault,the cumulative displacements of surface increase gradually in the models with fixed dip angles of the fault plane(model 1). However,when the horizontal projection distance exceeds 20 km,the influence of fault?s dip angle on the cumulative displacements of surface short-leveling will decrease significantly,and the cumulative displacements are maintained at about 1. 5 m. However,in the listric fault models(model 2),when the projection distance is less than 20 km,the listric fault structure impedes the sliding of fault. The short-leveling variation rate is only half of model 1;as a result,the ability to reflect the regional stress enhancement by cross-fault short-leveling is further weakened. But when the horizontal projection distance exceeds25 km,the cumulative displacements significantly increase,with the maximum displacement reaching 1. 75 m. The results of equivalent stress show that the listric fault structure causes a sudden increasement in equivalent stress when the horizontal projection distance is 10 km,higher equivalent stress values are accumulated between the projection distance of 5-20 km,and then high-low stress difference zones are formed at the bottom of the fault plane and near the transition zone of low-high dip angle.

Research on Deformation Mode of the Longmenshan-Longriba Region Using GPS and Leveling Data

The Longmenshan-Longriba region is located on the eastern edge of the Tibetan Plateau, and is an ideal place to study the eastward extrusion and uplift mechanism of the plateau. Previous studies on this area mainly focused on tectonic activity and seismic hazard, with few studies giving its overall deformation characteristics and dynamic mechanism. This paper uses the latest dense GPS data, combined with precise Leveling data to analyze the kinematic characteristics and deformation mode of the Longmenshan fault zone (LMSF) and the Longriba fault zone (LRBF). The results show that both the Longmenshan fault zone and the Longriba fault zone have certain right-lateral strike-slip and thrusting, indicating that they play an important role in adjusting strain distribution and absorbing tectonic deformation;The strain-rate field on the Longriba fault zone is broadly distributed, suggesting that the deformation field is at least partially coupled;while the strain-rate field on the Longmenshan fault zone presents a non-uniform distribution, indicating different dynamic sources acting on segments. The high strain rate areas revealed in this study points us to the high-risk area for future earthquakes. The present-day vertical motion velocity field in the region obtained from Leveling and GPS data shows a mismatch between the regional deformation field and active tectonics, which can be explained by the incomplete coupling of deformation between the lower and upper crust.

Base-level Chang and Sequence Stratigraphy of Lishu Fault Lacustrine Basin

Base-level is a kind of surface which controls sedimentation and erosion. So, it can be concluded that it is base-level change that controls the formation and internal structure of a sequence. A single cycle of base-level change can generate four sets of different stacking patterns. They are two sets of aggradation, one progradation and one retrogradation, which affects the features of the internal structure of a sequence. Lishu fault subsidence of Songliao basin is a typical half-graben lacustrine basin. Comprehensive base-level change analysis indicates that six base-level cycles and their related six sequences can be recognized between T 4 and T 5 seismic reflection surface. The contemporaneous fault is the main controlling factor of the fault lacustrine basin. There are obvious differences exist in the composition of sedimentary systems and all systems tracts between its steep slope (the side that basin control fault existed) and flat slope. Except highstand systems tract is composed of fan delta-lacustrine system, lowstand systems tract, transgressive systems tract and regressive systems tract are all made up of fan delta-underwater fan-lacustrine sedimentary systems in the side of steep slope.

面向残差评价的中点钳位型逆变器开路故障诊断方法

在基于解析模型的故障诊断系统中,为了显化残差信号所包含故障信息的能力,提出一种面向残差评价的中点钳位型三电平三相逆变器快速开路故障诊断方法。首先,构建诊断观测器获取三相电流观测值并通过观测矩阵计算电流残差;其次,通过引入基于范数的标准评价函数,计算残差性能指标与阈值,将残差转换为可用的特征信号并与阈值相比较实现高效实时的故障检测;再次,推导不同功率开关器件开路故障状态下的电流残差特性,并依据此特性实现精准的故障隔离;最后,在仿真平台及半实物实验平台上验证了该文所提算法的有效性与可行性。仿真与实验平台结果表明,相较于传统基于信号与知识的诊断方法,残差性能评价的引入使得诊断速度提高80%以上。针对NPC型三电平三相逆变器常见的四种开路故障情况,均可实现快速且精准的故障检测及定位。

基于行波的铁路一级负荷(自闭)贯通线路故障定位

一级负荷(自闭)贯通供电系统作为铁路供电系统的重要组成部分,其供电系统的稳定性直接决定了高速(普速)铁路的安全运行程度,因此一级负荷(自闭)贯通线路的运行状态和发生故障时的精确定位显得极为重要。根据行波的特性,通过分析故障状态下行波传输的波过程,实现基于故障状态下行波波形的铁路一级负荷(自闭)贯通线路故障点精确定位,并通过具体案例理解行波定位对运行线路故障排查的重要性。

高等级生物安全实验室风机故障工况切换控制策略

介绍了高等级生物安全实验室的空调系统配置和负压控制方法,分析了送、排风机故障时常规控制方式容易出现的问题,提出了风机故障工况切换控制策略,通过模拟风机故障验证了该策略控制效果良好,为高等级生物安全实验室的风机故障工况切换控制提供了参考。

核电厂安全级数字化仪控系统故障缺省值的验证与确认

安全级数字化仪控系统中故障缺省值的设置对核电厂安全具有至关重要的作用,但其验证与确认的难点在于具体实施时缺乏明确的细则指导。基于IEEE Std 1012,结合对法规标准、缺省值设计原则及以往项目实施经验的分析,同时考虑到漳州核电一期项目数字化仪控系统平台及设计开发流程的特点,提出了一套针对安全级数字化仪控系统故障缺省值的验证与确认策略和方法。经过漳州核电一期的实践验证,这套策略和方法能够充分、高效地验证缺省值设计的正确性和完整性,有效缓解了验证与确认过程中缺乏详尽标准、理论及相关成熟经验可借鉴的困境。对于后续核电安全级数字化仪控系统故障缺省值的验证与确认工作,该策略和方法具有一定的参考价值。

基于多层级深度神经网络的电力设备红外图像故障识别

电力设备的故障可能导致电力系统不稳定甚至解列,对电力安全和国民经济造成巨大损失,因此迅速且准确地识别这些故障至关重要。红外图像特征在捕捉发热故障的电力设备方面表现出良好的特征表达能力。然而,在图像采集过程中,可能会发生目标重叠、遮挡以及类目标干扰等问题。因此提出了一种复杂图像故障识别算法。基于多层级深度神经网络,充分利用多层网络模块的高层次特征提取能力和多级网络模块的特征融合能力,以提高故障识别的准确性。实验结果表明,该算法在准确率和运行时间等评估指标上优于现有的Faster-RCNN、VGG16、VGG19以及传统Resnet等模型,验证了其在解决图像中目标重叠、遮挡和类目标干扰等问题上的有效性。

基于改进蜣螂算法优化CNN-BiLSTM-Attention的串联电弧故障检测方法

针对故障电弧特征提取不足、检测精度不高等问题,提出一种多特征融合的改进蜣螂算法(IDBO)优化融合注意力(Attention)机制的卷积神经网络(CNN)和双向长短期记忆(BiLSTM)神经网络的串联电弧故障检测方法。通过实验平台提取电流的时域、频域、时频域以及信号自回归参数模型特征;利用核主成分分析(KPCA)对特征进行降维融合,并将求取的特征向量作为CNN-BiLSTM-Attention的输入向量;引入Cubic混沌映射、螺旋搜索策略、动态权重系数、高斯柯西变异策略对蜣螂算法进行改进,利用改进蜣螂算法对CNN-BiLSTM-Attention超参数优化实现串联电弧故障诊断。结果表明,所提方法故障电弧检测准确率达到97.92%,可高效识别串联电弧故障。

基于维纳滤波的风电机组齿轮箱轴承故障诊断

存在轴承故障时,风电机组齿轮箱振动信号的幅度与频率都会发生明显改变,通过信号变化行为的测量能够判定出具体的轴承故障等级。为实现对轴承故障的准确判定,设计基于维纳滤波的风电机组齿轮箱轴承故障等级判定方法。通过获取轴承振动波的IMF分量,并完善维纳滤波算法,在此基础上,处理故障数据,实现基于维纳滤波的轴承故障特征提取。定义轴承故障特征的伪四阶矩,通过求解特征角度的方式,确定故障等级基准的判定范围,完成基于维纳滤波的风电机组齿轮箱轴承故障等级判定方法的设计。实验结果表明,利用上述方法,能够根据幅度和频率的变化行为,判定风电机组齿轮箱轴承的故障等级,符合实际应用需求。

泸州地区深层页岩气水平井套变成因机理探讨

四川盆地南部泸州地区深层页岩气储量丰富,是继长宁、威远等中浅层页岩气之后重要的天然气资源接替领域。但在泸州地区深层页岩气开发过程中水平井套管变形(以下简称套变)频发,对水平井压裂施工产生明显影响,制约了该区深层页岩气的规模建产。业内普遍认为套管变形是地层中的断裂发生滑移并对水平井产生剪切和挤压作用引起的,但基于该理论的套变模型与诸多实测数据不相吻合。为了进一步明确套管变形机理,提高套变的防控效果,以泸203井区18口套管变形水平井为对象,基于多臂井径成像测井,逐个对比套变形态、套变层位以及平面断裂发育情况,建立了断裂滑移和层理面滑移2种地质模型,并分析了2种地质模型下的不同套管变形特征。研究结果表明:(1)断裂滑移诱发的套变具有以下规律,即平面上套变仅出现在水平井与断裂带的交会处;套管的变形长度理论上应在10 m以内;套管的变形程度应呈近似对称关系,中部变形强,向两侧逐渐减弱。(2)该区多数套变不在预测的断裂带内,且部分套变段变形长度与形态不符合断裂滑移的特征。(3)层理面滑移可诱发多个相似的套变,在该机制下套管变形长度等于井筒与滑移面相交的距离,且层理面滑移的垂向分布与地层的页理发育程度一致。(4)层理面滑移与断裂滑移具有相似的力学机理,通过三维莫尔圆可以分析钻井和压裂过程中诱发断裂/层理面滑移的关键参数变化。结论认为,除断裂滑移外,层理面滑移是诱发页岩气水平井套管变形的另一重要机理,该研究成果可为深层页岩气规模效益开发的套变防控提供理论指导。

AmazeMap:基于多层次影响图的微服务故障定位方法

微服务软件系统由于其具有大量复杂的服务依赖关系和组件化模块,一个服务发生故障往往造成与之相关的1个或多个服务发生故障,导致故障定位的难度不断提高.因此,如何有效地检测系统故障、快速而准确地定位故障根因问题,是当前微服务领域研究的重点.现有研究一般通过分析故障对服务、指标的作用关系来构建故障关系模型,但存在运维数据利用不充分、故障信息建模不全面、根因定位粒度粗等问题,因此提出了AmazeMap方法.该方法设计了多层次故障影响图建模方法以及基于多层次故障影响图的微服务故障定位方法.其中:多层次故障影响图建模方法通过挖掘系统运行时指标时序数据与链路数据,考虑不同层次间的相互关系,能够较全面地建模故障信息;基于多层次故障影响图的微服务故障定位方法通过缩小故障影响范围,从服务实例和指标两个方面发现根因,输出最有可能的故障根因节点和指标序列.基于开源基准微服务系统和AIOps挑战赛数据集,从有效性和效率两个方面设计了微服务软件故障定位实验,并与现有方法进行对比,实验结果验证了AmazeMap的有效性、准确性和效率.

含主动限流控制的MMC-HVDC电网直流短路故障电流解析计算

传统的MMC-HVDC电网直流短路故障电流计算一般采用等效RLC电路方法。但是该方法没有考虑主动限流控制(ACLC)对等效电路RLC参数的影响,因此无法直接用于含ACLC的MMC-HVDC电网的直流短路故障电流的解析计算问题。该文通过将ACLC的控制效果等效为虚拟阻抗产生的压降,建立了体现ACLC的控制影响的等效RLC电路,以包含电流变化率限流环节的典型ACLC算法为例,推导了直流双极短路故障条件下ACLC的控制参数与虚拟阻抗的映射关系以及相应的直流故障电流解析表达式。最后,以基于含ACLC的半桥型四端MMC-HVDC电网为例,建立PSCAD/EMTDC仿真模型,对采用ACLC的直流双极短路故障电流解析计算结果进行了验证。结果表明:故障后10ms内直流短路故障电流的PSCAD仿真结果与所提出的含ACLC的等效RLC电路解析计算结果的平均误差在8.29%以内,最大误差在10.99%。因此,使用所提出的方法具有工程实用性。