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感应电机驱动的机械系统无传感器监测方法研究 被引量：2

Sensorless Monitoring of Machinery System Driven by Induction Motors
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摘要 提出一种应用于感应电机驱动的机械系统无传感器监测的谐波导纳估计方法。基于特别选定的基元函数 ,并结合遗传算法 ,给出一种自适应信号分解算法 ,用来提取电机电信号中的相关谐波 ,具有从强瞬态调制波干扰的信号中提取微弱谐波信息的优点 ,尤其是当瞬态调制波的载波频率与要提取的谐波频率相同时 ,仍可获得满意的结果。应用提出的方法 ,对感应电机驱动的机械系统转子失衡问题进行了实验研究 ,结果表明 ,获得的电机谐波导纳的偏心谐波幅值能够敏感地反映转子的失衡状态 ,从而可实现在无传感器条件下对电机驱动的机械系统进行状态监测和诊断。与振动法的对比实验证实了该方法的可行性。 This paper presents a method for estimating harmonic admittances of the induction motor used for the sensorless monitoring of a mechanical system driven by the motor. An adaptive algorithm is proposed based on a series expansion of a signal by a set of specially selected elementary functions, which can be used to extract weak harmonic information from an noisy observed signal, especially in the presence of additive interference caused by transient modulation waves, even if the carrier frequencies of the transient modulation waves are identical with the harmonic frequencies. As an application, a rotor unbalance experiment of rotating machinery driven by an induction motor is carried out. The result shows that the eccentricity harmonic magnitude of harmonic admittances obtained by the proposed method represents the rotor unbalance conditions sensitively. Vibration analysis is used to validate the proposed method.
作者 孟庆丰 焦李成 费晓琪
机构地区 西安电子科技大学雷达信号处理国家重点实验室 西安交通大学机械工程学院
出处 《振动．测试与诊断》 EI CSCD 2004年第4期257-261,共5页 Journal of Vibration,Measurement & Diagnosis
基金 国家自然科学基金资助项目 (编号 :5 0 0 75 0 6 7) 国家"八六三"计划资助项目 (编号 :2 0 0 1AA4 1330 )
关键词 谐波导纳 无传感器监测 转子失衡监测 自适应信号分解 harmonic admittance sensorless monitoring rotor unbalance monitoring adaptive signal decomposition
分类号 TM934.73 [电气工程—电力电子与电力传动] TH17 [机械工程—机械制造及自动化]
  • 相关文献

参考文献11

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二级参考文献14

  • 1[1]Kliman G B, Premerlani W J, Yazici B, et al. Sensorless online motor diagnostics. In.. IEEE Trans. on Computer Application in Power. 1997,4: 39～43
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  • 6[6]Ferrah A, Bradley K G, Asher G M. Sensorless speed detection of invert fed induction motor using rotor slot harmonics and fast Fourier Transform. In: Proceedings of the International Conference on Electric Machines. New York, 1992. 279～286
  • 7[7]Blasco R, Sumner M, Asher G M. Speed measurement of invert fed induction motor using the FFT and the rotor slot harmonics. In: 5th International Conference on Electronics and Variable-speed Drives. London, 1994.90～95
  • 8[8]Hurst K D, Habetler T G. A comparison of spectrum estimation techniques for sensorless speed detection in induction machines. IEEE Trans. on Industry Applications, 1997,33(4):898～905
  • 9[9]Ferrah A, Bradley K J, Hogben-Laing P J, et al. A speed identifier for induction motor drives using real-time adaptive digital filtering. IEEE trans. on Industry Applications, 1998,34(1):156～162
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共引文献10

同被引文献52

  • 1蒋建东,魏臻珠,冯涛.感应电机鼠笼转子断条故障的仿真分析[J].郑州大学学报（工学版）,2006,27(2):81-83. 被引量：4
  • 2赵龙,黄树红.风力发电机组故障诊断系统研究[D].武汉:华中科技大学,2009.
  • 3LU Bin, LI Yaoyu, WU Xin, et al. A Review of Recent Advances in Wind Turbine Condition Monitoring and Fault Diagnosis [ C ]. Power Electronics and Machines in Wind Applications, PEMWA 2009. 2009 : 1 - 7.
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  • 5RILEV C M, LIN B K, HABETLER T G, et al. A Method for Senso-less On-line Vibration Monitoring of Induction Machines [ C ]//Conference Record of the 1996 IEEE Industry Applications Conference. San Diego, 1996:201 - 207.
  • 6LI C. James, MA Jun. Wavelet Decomposition of Vibration for De- tection of Beating-localized Defeets[ J], DT&Interation, 1997,30, (3) :143 -149.
  • 7PRABHAKARS, MOHANTYA R, SEKHARA S. Application of Discrete Wavelet Transform for Deteetion of Ball Bearing Race Faults[ J]. Tribology International, 2002,35:793 - 800.
  • 8BASAK D, TIWARI A, DAS S P. Fault Diagnosis and Condition Monitoring of Eleetrieal Maehines-A eview[ C ]// In Proe. IEEE 1CIT, Mumbai, 2006:3061 - 3066.
  • 9SHAHIN Hedayati Kia, HUMBERTE Henao. A Modeling Ap- proaeh for Gearbox Monitoring Using Stator Current Signature in Induction Machines[ C]// Industry Applications Society Annual Meeting, 2008 : 1 - 6.
  • 10IBRAHIM A, El BADAOU M. , GUILLET F, et al. Electrical Signals Analysis of an Asynchronous Motor for Bearing Fault De- tection [ C ]//. IECON 2006 -32nd Annual Conference on IEEE Industrial Electronics, 2006:4975 - 4980.

引证文献2

二级引证文献8

振动．测试与诊断
2004年 第4期

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