fault type中文是什么意思

发音:

中文翻译
造句

[网络] 故障类型；断层种类；统计报表

type of fault 事故类别
gulf coast-type fault 海湾沿岸式断层
vertical fault type earthquake 垂直断层型地震
at fault 感到困惑, 有故障; 有错; 有过失; 有毛病; 罪有应得
fault n. 1.过失，过错；罪过，责任。 2.缺点，缺陷，瑕疵。 3.(猎狗的)失去嗅迹。 4.【电学】故障，误差；漏电；【地质学；地理学】断层。 5.【网球】发球出界；犯规。 Faults are thick where love is thin. 〔谚语〕一朝情义淡，样样不顺眼。 fault detection 【机械工程】探伤。 The fault is his own. 这是他自己的错。 a grave fault in a theory 理论上的重大缺陷。 a fault in the machine 机械故障。 image fault 【物理学】像差，影像失真。 numerical faults 数值误差。 a fault on the right side 因祸得福。 be at fault 1. (猎犬追捕猎物等时)失去嗅迹，踌躇不前；不知所措，正在为难。 2. 出毛病，有故障。 3. ＝ in fault (My memory is at fault . 我想不起来了)。 find fault in 看出…缺点。 find fault with 找…的岔子。 have no fault to find with 无错可寻。 hit off a fault (猎狗)闻出(曾一度错失的)嗅迹。 in fault 有过错，有责任 (Who is in fault 是谁的不是？)。 to a fault 过度，极端 (He is kind to a fault. 他过分老实)。 whip a fault out of sb. 鞭打某人使之改过。 with all faults 不保证商品没有缺点。 without fault 〔古语〕无误，确实。 vi. 1.【地质学；地理学】产生断层；有断层余迹。 2.发球出界；犯规。 3.〔方言〕责备，挑剔。 4.〔古语〕犯错误，做错。 vt. 1.找…的岔子，挑剔；〔方言〕责备。 2.【地质学；地理学】使产生断层。 3.把…做错。 He faulted my speech in two ways. 他认为我的讲话有两点不妥。 fault one's performance 表演发生失误。
in fault 有过错
no fault 无过失
to a fault 过分地
fault liability; liability for fault 过错责任
fault page fault 中断过错页中断
fault scarp(fault escarpment) 断层崖
heave fault; tear fault 捩断层
reversed fault(reverse fault) 逆断层
seissors fault differential fault 剪断层
transcurrent fault(transverse fault) 横移断层
a find fault 找毛病
a ociated fault 共轭断层
a ormal fault 异常断层
a venial fault 情有可原的错误
abyssal fault 深断层; 深海层
ac fault 动态故障
accident fault 事故损坏肇事
acro fault 横断层
across fault 横断层

"查查词典"手机版

千万人都在用的超大词汇词典翻译APP

例句与用法

The development of mechanical fault diagnosis technology and the research overview, research goal and research significance of intelligent fault diagnosis technology used in the field of equipment are described and the shortcomings of it are discussed . the fault diagnosis mechanism, fault types and diagnosis methods of equipment are also discussed . the methods of intelligent fault diagnosis based on knowledge and intelligent fault diagnosis based on neural networks are discussed, too
本文以旋转机械转子系统和电动机为智能故障诊断研究对象，阐述了机械故障诊断技术的发展以及智能故障诊断技术在设备故障诊断领域的研究概况，研究的目的与意义，存在的问题与不足；系统、深入地研究了设备故障诊断机理、故障类型及故障诊断方法；详细论述了利用专家系统进行故障诊断的智能诊断技术和基于神经网络的智能故障诊断技术；利用visualbasic与matlab集成并结合access等软件进行可视化联合编程的理论及机械设备故障智能诊断系统的实现过程与运行实例。
The adaptive setting algorithm and realizing strategy of adaptive protection function use local information of adaptive protection device, information of substation, status messages and topology connection relations coming from scada system offered by centralized control center to adapt to changes of topology structure, system impedance and fault type by amending the settings on line . the adatpvie protection algorithm of the device is adaptive three-step current protection
所提出的自适应整定算法、系统级自适应保护功能实现策略综合利用供配电线路自适应保护装置本地信息、变电站站内信息与集控中心借助scada系统提供的一次、二次设备状态信息及拓扑连接关系,自动在线计算并修正保护整定值,实现了对电力系统拓扑结构、运行方式及故障类型变化的自适应。
By analyzing the refraction 、 reflection process of fault transient current traveling wave of high voltage and characteristics of refraction 、 reflection coefficient systematically, a new fault location method of single ended traveling wave is presented . it can not only identify the reflection wave for fault location efficiently, but also not be affected by the structure and length of line . fault earthed resistance 、 fault type 、 system impedance and can locate fault in adjacent areas accurately
论文深入地分析了高压线路故障暂态电流行波的波折、反射过程以及折、反射系数的特点，提出了新的单端行波故障测距方法，它不仅能够有效地识别出测距所用的反射波，而且几乎不受线路结构、长短、故障接地电阻、故障类型、系统阻抗的影响，在近区仍可以准确地进行测距；同时模拟阻波器的特征，设计了低通数字滤波器，对通过了低通数字滤波器的暂态故障电流行波再次进行小波分析，并利用本文提出的单端行波故障测距方法进行故障定位，结论是所提出的测距方法在实际应用中仍是有效的。
Presents starting link and system organization of fan ’ s inspects status and fault diagnosis . the system collects data through data acquisition system, inspects fan ’ s status with monitoring soft, establishes routine and fault data bases, and calls routine analysis daughter system, and in the end diagnoses the fault, observates equipment ’ s operating mode; finds fault type and cause . with the assistance of the diagnosis system, the economy and safety of factory is greatly improved
通过数据采集系统对信号进行采集与处理,利用监测软件实现风机状态监测,建立常规数据库和故障数据库以及调用常规分析子系统进行故障诊断等手段,观察设备运行状态,找到故障的类型和原因,作为决策的依据,从而提高了设备的经济性和安全性。
To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals . meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector . by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also
为解决模拟电路的故障信息高效获取难题,本文采用小波变换作为故障信号的预处理器,研究了基于小波变换预处理的bp网络故障诊断方法,该法能在有效提取故障特征的同时,降低输入信息的维数,从而进一步简化了神经网络的结构,减少了其训练时间,提高了辨识故障类别的能力。
Compared with conventional methods, the proposed method is not disturbed by reflected waves from tee joints or other resistance discontinuities, and is not influenced by fault type, and can recognize the reflected wave from the fault point even when the fault point is near to the measuring terminal ( so-called dead-zone ), and simultaneously, the method reduces the influence of wave speed uncertainty
与传统的行波测距方法相比，这种方法不受电缆分支接头或其他阻抗不匹配点反射波的干扰，不受故障类型的影响，在近区也不存在无法识别反射波的问题，同时也减少了波速不确定性对测距精度的影响。
To prevent pumping system stopping working, working without efficiency and being destroyed, so it is very important to monitor oil-well . the thesis dissertates the process of developing displacement-load sensor which collects displacement data and load data to form the indicator diagrams, researches the means based on rbf neural network of recognizing fault types, designs parts of hardware and software of the mainframe of the oil-well monitor and control system, and debugs the entire oil-well monitor and control system
为了防止抽油机故障停机、无油空抽、不法分子的蓄意破坏等情况的发生,因此对油井工况进行实时监控显得尤为重要。本文论述了采集用于形成油井示功图的位移和载荷数据的传感器的研制,包括硬件电路和软件的设计,对基于rbf神经网络的油井工况模式识别方法进行了研究,对监控系统主机的部分硬件电路及相应的软件进行了设计,并对整个油井监控系统进行了联调和测试。
This thesis disusses the current states and the matter of the transformer condition monitoring and diagnosis fault . afer analying that dga can only reflect the fault type but ca n't confirm the fault location, part-discharging signal can realize fault location in theory but ca n't be carried out easily for the inconstant influence of circumstance, we present a method that conbinates the oli-gas and electric quanlities to monitor the transformer . using on-line monitoring of oli-gas conform the fault type . using on-line electric quanlities confirm the fault location . with this method, a fault diagnosis system and corresponding diangnosis flow are proprosed . the main work of this thesis consists of the following parts : 1
本文主要研究了电力变压器状态监测与故障诊断的现状以及存在的问题，针对目前dga(油中溶解气体色谱分析法)只能定性分析变压器的故障，不能进行故障定位，而局部放电虽然能够进行故障定位，但由于现场的干扰复杂多变，难以提取有效的局部放电信号，从而提出了结合油气量和电气量两个方面对变压器进行状态监测。通过油气量在线监测，判断其故障类型和性质；通过电气量在线监测，对变压器的关键部件??绕组实现故障定位。
This thesis disusses the current states and the matter of the transformer condition monitoring and diagnosis fault . afer analying that dga can only reflect the fault type but ca n't confirm the fault location, part-discharging signal can realize fault location in theory but ca n't be carried out easily for the inconstant influence of circumstance, we present a method that conbinates the oli-gas and electric quanlities to monitor the transformer . using on-line monitoring of oli-gas conform the fault type . using on-line electric quanlities confirm the fault location . with this method, a fault diagnosis system and corresponding diangnosis flow are proprosed . the main work of this thesis consists of the following parts : 1
本文主要研究了电力变压器状态监测与故障诊断的现状以及存在的问题，针对目前dga(油中溶解气体色谱分析法)只能定性分析变压器的故障，不能进行故障定位，而局部放电虽然能够进行故障定位，但由于现场的干扰复杂多变，难以提取有效的局部放电信号，从而提出了结合油气量和电气量两个方面对变压器进行状态监测。通过油气量在线监测，判断其故障类型和性质；通过电气量在线监测，对变压器的关键部件??绕组实现故障定位。
The establishment of diagnosis model about gear fault the history fault data of gear case is analysed by clustering supplied by analysis services of microsoft sql server 2000, and the data which has the same property and fault type is classified as a group . traversing 8 property and outcome of this cluster obtained can get a rule . rules whose degree of support or belief doesn ’ t meet the demand are deleted and the diagnosis model is established from the rest rules
2.齿轮故障诊断模型的建立利用sqlserver2000中analysisservices提供的聚类法,对齿轮箱历史故障数据进行挖掘,将具有相似属性特征且故障类型一致的数据分成同一组,得到一个聚类,遍历这个聚类的8个属性至结论得到一条诊断规则,滤掉支持度和可信度不满足要求的规则,最后由所有规则建立诊断模型。