back current

back current的基本解释

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反向电流, 逆流

与back current相关的网络例句 [注：此内容来源于网络，仅供参考]

In this paper, the change of back electromotive force current with the different PWM modes are analyzed in detail on the base of BLDCM model. According to theory and experiment ,ON-PWM type restrains the peak value of back electromotive force current and brings the lest effect to the motor control system.

基于无刷直流电动机的数学模型，分析比较了不同PWM调制方式下反电势电流的变化规律，并通过理论推导和仿真实验证明了当电机系统采用ON-PWM调制方式时，能有效地抑制反电势电流的峰值且对电机控制系统造成的影响最小。

Korea put the company at electric power control device - the general type STR (thyratron thyristor power controller) CPU upgrade to system memory type, and early in 2003 to develop cutting-edge new product type constant current, constant voltage type collectively referred to as STR (may silicon-controlled thyristor power controller) the inherent brand. In 2000 to develop the motor starting device - soft starter motor new products and the inherent SMC brand available at the area of power control both at home and abroad alike. Market in 2000 and 2002 patent SSC (packaged solid-state thyratron power controller), as well as sales from the company since its inception back filter with Pulse Timer and other products in the same trade firmly occupy The largest market. Also in 2002 the development of the supply of silicon wafer characterization equipment and sub-Plasma Ion Plating with the most cutting-edge power supply devices and so on, so if the company has high-speed development.

本公司在韩国把电炉电力控制装置-一般型STR升级为CPU系统内存型，与2003年初新开发的尖端产品恒电流型、恒电压型统称为STR 这一固有品牌。2000年开发电动机启动装置-电动机软启动器新产品并以SMC这一固有品牌面市，在电力控制领域受到国内外的一致好评。2000年面市并2002年取得专利的SSC(封装固态闸流功率控制器)，还有从公司创立初期销售至今的 back filter 用 Pulse Timer等产品在同行业中牢牢占据着最大的市场。2002年又开发供应硅wafer分段定性装备及Plasma Ion Plating用最尖端动力供应装置等，因此公司具备了高速发展的依据。

In this paper, the sorting of wear, the mechanics of wear particle formed and the characteristics of wear particles are introduced, and morphology characteristics parameter of wear particle are determined, which is particle brim digital feature. Based on image characters, after pre-process, section and extracting of contour parameter of wear particle using image process technique, four shape character parameters are extracted by fourier series expansion. After analyzing fundamental principle and shortcomings of neural network, current BP algorithm is improved in output optimization, network linearization implication optimization and adding momentum, and then astringe speed of BP algorithm.

本文介绍了磨损的分类以及磨粒的生成机理、磨粒的形态特征，应用摩擦学系统分析的观点，确定磨粒边缘数字特征为磨粒的识别特征参数；根据磨粒图像的特征，利用计算机图像处理技术对磨粒图像进行预处理、分割、轮廓参数的提取，采用傅立叶级数展开式提取磨粒四个形状特征参数：圆形度、散射度、凹度、细长度；针对 BP(Back-Propagation)神经网络收敛速度慢的特点，对现行的 BP 算法进行改进，并通过实验验证改进后的网络收敛速度快；研究设计了磨粒图像采集系统；利用 BP 算法建立磨损磨粒自动识别算法模型 AWPRM(Auto Wear Particle Recognition Model)。

与back current相关的网络解释 [注：此内容来源于网络，仅供参考]

Fold Back Current Limiting：回流限制

效率 Efficiency | 回流限制 Fold Back Current Limiting | 通常测试方法 General Test Set-Up

recirculate , return flow, back current：回流

回火硬化temper hardening | 回流recirculate , return flow, back current | 回热抽气bleed back

back ground current：维弧电流

back ground ==> (即底影)背景 | back ground current ==> 维弧电流 | back guide ==> 后导板