基于电机电流特征分析(Motor Current Signature Analysis,MCSA)的齿轮故障诊断技术,以电机定子电流为切入点,可以检测机器以及电机中的机械故障和电气异常,对系统不会造成任何干扰。同时,基于单片机构进行故障检测设计,结合频段和功率...基于电机电流特征分析(Motor Current Signature Analysis,MCSA)的齿轮故障诊断技术,以电机定子电流为切入点,可以检测机器以及电机中的机械故障和电气异常,对系统不会造成任何干扰。同时,基于单片机构进行故障检测设计,结合频段和功率谱密度(Power Spectral Density,PSD)数据判断齿轮故障。展开更多
机床类设备传动链复杂,结构紧凑且封闭,对传动系统状态监测一直没有有效的分析办法,即使在噪声增大等恶劣情况下,常规的振动诊断方法也难以奏效。本文尝试用电流信号分析法,简称MCSA(Motor Current Signal Analysis),对机床状态进行测...机床类设备传动链复杂,结构紧凑且封闭,对传动系统状态监测一直没有有效的分析办法,即使在噪声增大等恶劣情况下,常规的振动诊断方法也难以奏效。本文尝试用电流信号分析法,简称MCSA(Motor Current Signal Analysis),对机床状态进行测试和分析。通过电机电流信号的传动链齿轮谱特征分析,对其做出了正确评估,表明定子电流能很好地反映机床传动系统部件的运行状况。同时进行了多种运行工况的测试与试验,研究结论对机床类设备的生产制造和现场运行状态的分析提供了有效依据。展开更多
为满足电机故障检测的需要,结合DSP精度高、数字信号处理能力强和ARM资源丰富、性能价格比高等特点,开发了一款基于TMS320F2812和S3C44B0X的双CPU结构的异步电动机故障检测装置。介绍了系统的主要功能并重点分析了系统采用的MCSA(Motor ...为满足电机故障检测的需要,结合DSP精度高、数字信号处理能力强和ARM资源丰富、性能价格比高等特点,开发了一款基于TMS320F2812和S3C44B0X的双CPU结构的异步电动机故障检测装置。介绍了系统的主要功能并重点分析了系统采用的MCSA(Motor Current Signature Analysis)技术、测量算法、快速傅里叶变换FFT和局部频谱的连续细化分析方法,给出了系统的硬件结构、软件框图和设计方案以及转子断条故障检测的实验结果。展开更多
The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emergin...The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to diagnose the stator faults of Induction Motors. The unalleviated study of the robustness of the industrial appliances is obligatory to verdict the fault of the machines at precipitate stages and thwart the machine from brutal damage. For all kinds of industry, a machine failure escorts to a diminution in production and cost increases. The Motor Current Signature Analysis (MCSA) is referred as the most predominant way to diagnose the faults of electrical machines. Since the detailed analysis of the current spectrum, the method will portray the typical fault state. This paper aims to present dissimilar stator faults which are classified under electrical faults using MCSA and the comparison of simulation and hardware results. The magnitude of these fault harmonics analyzes in detail by means of Finite-Element Method (FEM). The anticipated method can effectively perceive the trivial changes too during the operation of the motor and it shows in the results.展开更多
文摘机床类设备传动链复杂,结构紧凑且封闭,对传动系统状态监测一直没有有效的分析办法,即使在噪声增大等恶劣情况下,常规的振动诊断方法也难以奏效。本文尝试用电流信号分析法,简称MCSA(Motor Current Signal Analysis),对机床状态进行测试和分析。通过电机电流信号的传动链齿轮谱特征分析,对其做出了正确评估,表明定子电流能很好地反映机床传动系统部件的运行状况。同时进行了多种运行工况的测试与试验,研究结论对机床类设备的生产制造和现场运行状态的分析提供了有效依据。
文摘为满足电机故障检测的需要,结合DSP精度高、数字信号处理能力强和ARM资源丰富、性能价格比高等特点,开发了一款基于TMS320F2812和S3C44B0X的双CPU结构的异步电动机故障检测装置。介绍了系统的主要功能并重点分析了系统采用的MCSA(Motor Current Signature Analysis)技术、测量算法、快速傅里叶变换FFT和局部频谱的连续细化分析方法,给出了系统的硬件结构、软件框图和设计方案以及转子断条故障检测的实验结果。
文摘The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to diagnose the stator faults of Induction Motors. The unalleviated study of the robustness of the industrial appliances is obligatory to verdict the fault of the machines at precipitate stages and thwart the machine from brutal damage. For all kinds of industry, a machine failure escorts to a diminution in production and cost increases. The Motor Current Signature Analysis (MCSA) is referred as the most predominant way to diagnose the faults of electrical machines. Since the detailed analysis of the current spectrum, the method will portray the typical fault state. This paper aims to present dissimilar stator faults which are classified under electrical faults using MCSA and the comparison of simulation and hardware results. The magnitude of these fault harmonics analyzes in detail by means of Finite-Element Method (FEM). The anticipated method can effectively perceive the trivial changes too during the operation of the motor and it shows in the results.
