研究鼠笼型异步电动机转子断条故障和偏心故障的在线检测方法。
A method to detect squirrel cage induction motors with broken rotor bars and static eccentricity is presented.
该方法已成功应用于笼型异步电动机转子断条故障的在线监测中。
The approach is also applied to the rotor bar breaking fault detection for squirrel cage asynchronous motor in this work.
提出了基于气隙转矩的鼠笼异步电动机转子断条故障在线监测方法。
The method of rotor broken bars on-line monitoring in induction motor based on the air-gap torque is proposed.
对鼠笼式异步电动机比较常见的转子断条、端环断裂故障进行了分析。
The common faults such as rotor broken and end ring crack in squirrelcage asynchronous motor have been analyzed.
通过对定子电流进行细化频谱分析，可以准确识别转子断条等一类故障。
Through the Zoom spectrum analysis of stator curr - ent. such defects as rotor bar break will be recognized.
分析了转子断条故障特征在电机启动电磁转矩信号中的表现形式及频率变化规律。
The expression and frequency variety law of the rotor broken bar fault feature component in the startup electromagnetic torque signal are analyzed in detail.
提出了一种基于希尔伯特变换与数字滤波的笼型异步电动机转子断条在线检测方法。
A new approach to detect rotor bar breaking fault online is presented in this paper The Hilbert transform of stator current is firstly calculated and signal is constructed.
历史数据表明，转子断条是感应电机最常见的故障，占其全部故障种类的10%左右。
Statistical studies have shown that the rotor broken bar fault, which account for nearly 10% of total induction motor failures, is the most familiar fault for induction motors.
在此基础上，应用混沌神经网络对异步电动机鼠笼转子断条故障进行动态记忆和恢复。
In the paper faults of three phase induction motors with broken bare is diagnsed usingdrpamic associative memory of chaotic neural network.
对于转子断条故障，详细介绍了一种新的基于希尔伯特变换与数字滤波的在线监测方法。
Finally, this paper studies thoroughly a novel approach to detect rotor bar breaking fault, which is based on the perfect combination of the Hilbert Transform and digital filter.
在异步电机转子断条故障检测中，将原信号最优小波包分解，经自适应滤波后再信号重构。
During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.
对感应电动机转子断条故障诊断原理进行了详细分析，开发出了一套基于DSO- 2100虚拟数字示波器的故障诊断系统。
This paper analyzed the diagnosis principle about the induction motor, developed a fault diagnosis system based on the DSO-2100 hypothesized digital oscilloscope.
但由于工作环境恶劣，或者电机频繁起动等原因，转子导条经常会发生开焊和断裂等故障，因此有必要对电机进行转子断条在线检测。
But mechanical faults such as breakage of rotor bars often happen owing to various stresses. Therefore online detection on induction motors is necessary.
通过对气隙转矩的计算处理，利用小波脊线提取气隙转矩中转子断条故障特征频率分量，克服了分析定子电流信号时的不足，实现了电机转子断条故障的在线监测。
The broken bars faulty can be on-line monitored by extracting feature component based on wavelet ridge. Calculation of air-gap torque overcomes the disadvantages which based on current signal.
揭示了过去人们试图把定子电流中故障特征量的大小作为电机转子断条根数多少的判据的局限性，提出了把断条引起电机的不对称性作为电机故障程度判据的新的理论。
Finally, a new theory is proposed, in which the asymmetry of the motor induced by broken bars is taken as the criterion for determination of the degree of motor faults.
该系统是针对工矿企业大中型异步电机转子过热，引起断条这一普遍故障而研制的。
This system is developed to take aim at the general malfunction of broken club 4ue to overheating of the rotor of large induction motor in factories, mines and other enterprises.
利用图形缩放技术，对笼型异步电动机转子正常及断条情况下的定子电流信号希尔伯特模式做了研究，并概括出内在规律。
The Hilbert pattern of the induction motor stator current, which is a certain graph in nature, is investigated, using the graph zooming technique.
利用图形缩放技术，对笼型异步电动机转子正常及断条情况下的定子电流信号希尔伯特模式做了研究，并概括出内在规律。
The Hilbert pattern of the induction motor stator current, which is a certain graph in nature, is investigated, using the graph zooming technique.
应用推荐