| 1. | Broken rotor bars fault diagnosis of induction machines based on wavelet transformation of electromagnetic torque
基于电磁转矩小波变换的感应电机转子断条故障诊断 |
| 2. | Firstly , the fault features of rotor bar breaking and stator winding inter - turn short circuit are analyzed in this paper , deeply and thoroughly
本文对异步电动机转子断条与定子绕组匝间短路故障特征进行了机理、仿真与实验分析。 |
| 3. | Based on continuous subdivision fourier transform , artificial neural network and self - adaptive filter technique , this paper presents a novel detection scheme for rotor bar breaking fault
在此基础上，提出了基于连续细化傅里叶变换、神经网络与自适应滤波技术的笼型异步电动机转子断条故障检测新方法。 |
| 4. | A fast algorithm for wavelet transform is also proposed and applied in the extraction of the phase change rate for complex wavelet transform of stable - state stator current , which can detect broken rotor bar faults effectively
本文将该快速算法应用到电机稳态电流信号复值小波变换的相对相位变化率提取中，用以诊断异步电机的转子故障。 |
| 5. | The paper point outs that how to distinguish load oscillation and rotor bar faults is still the essential problem up to now , and a method based on wavelet transform to solve the problem is proposed
在电机转子故障检测中，诊断效果常受负荷波动的影响，本文提出了基于小波变换的负荷波动判定方法，它能明显地区分出电机的转子断条与负荷波动，提高了转子故障诊断的可靠性。 |
| 6. | The distinguished contributions of this paper are listed in details as the following . 1 . the multi - loop mathematical models under the conditions that the squirrel cage asynchronous motor is healthy , faulty with broken rotor bars or with stator winding inter - turn shorts are deduced thoroughly , and improved necessarily
本文的主要研究成果如下： 1 .详细推导了yn接、 y接、 d接笼型异步电动机在正常、转子断条及定子绕组匝间短路故障情况下的多回路数学模型。 |
| 7. | The feasibility of using mallat algorithm to extract the feature component of rotor bar faults is discussed , and we find that mallat algorithm is not suitable for rotor bar faults detection because of the similar representations of the fault and the normal signals
分析了应用mallat小波变换快速算法提取转子断条故障特征的可行性，指出由于故障信号与正常信号在时频域上的表现非常接近，仅使用基于频带划分的多分辨率分析方法的mallat算法难以提取出明显的转子断条特征量。 |
| 8. | Secondly , a series of novel detection schemes are presented creatively . furthermore , this paper proposes the joint detection scheme for rotor bar breaking and stator winding inter - turn short circuit fault in squirrel cage asynchronous motors , for the first time . meanwhile , a parameter identification technique based approach to detect stator / rotor over - heating fault is also presented
在此基础上，提出了异步电动机转子断条与定子绕组匝间短路故障检测新方法；首次提出了笼型异步电动机转子断条与定子绕组匝间短路故障联合检测方法；基于参数辨识技术，提出了异步电动机定转子绕组过热故障检测新方法。 |
| 9. | Firstly , a method to estimate the rotor speed , which is based on bp neural network , is introduced in this paper . secondly , the park vector approach is used to monitor and diagnose the inter - turn fault of the stator winding . 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
具体工作如下：采用bp神经网络对异步电动机转子转速进行无速度传感器估计；对定子绕组匝间短路故障，采用派克矢量方法进行监测与诊断；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。 |
| 10. | The algorithm is also applied in the broken rotor bars detection in squirrel cage induction machines , which is dependent on detecting the twice slip frequency modulation due to the speed or torque in the stator current , and the rotor bar faults can be detected effectively without some preprocessing
指出可以利用信号的小波脊线来提取频率随时间连续变换的信号的瞬时频率，并将该瞬时频率提取算法成功地应用到异步电动机定子起动电流信号的分析中，有效地提取出了转子断条故障特征。 |
