首页> 外文OA文献 >Use of Modal Representation for the Supporting Structure in Model Based Fault Identification of Large Rotating Machinery: Part 1 – Theoretical Remarks
【2h】

Use of Modal Representation for the Supporting Structure in Model Based Fault Identification of Large Rotating Machinery: Part 1 – Theoretical Remarks

机译:模态表示在大型旋转机械基于模型的故障识别中用于支撑结构的使用:第1部分-理论说明

摘要

Fault identification by means of model-based techniques, both in frequency and time domain, is often employed in diagnostics of rotating machines, when the main task is to locate and to evaluate the severity of the malfunction. The model of the fully assembled machine is composed by the submodels of the rotor, of the bearings and of the foundation, while the effect of the faults is modelled by means of equivalent force systems. Some identification techniques, such as the least squares identification in frequency domain, proposed by the authors, have proven to be quite robust even if the submodels are not fine-tuned. Anyhow, the use of a reliable model can increase the accuracy of the identification.udNormally a supporting structure is represented by means of rigid foundation or by pedestals, i.e. 2 d.o.f. mass–spring–damper systems, but these kind of models are often not able to reproduce correctly the influence of the dynamical behaviour of the supporting structure on the shaft, especially in large machines where coupled modes are present. Therefore, peculiar aspect of this paper is the use of a modal foundation to model the supporting structure of the machine and the method is discussed in detail in this first part. The modal representation of the foundation is then introduced in the least squares identification technique in frequency domain.
机译:当主要任务是定位并评估故障的严重性时,通常在旋转机械的诊断中采用通过基于模型的技术在频域和时域中进行故障识别。完全组装的机器的模型由转子,轴承和基础的子模型组成,而故障的影响则通过等效力系统进行建模。作者提出了一些识别技术,例如频域中的最小二乘识别,即使未对子模型进行微调,该技术也非常可靠。无论如何,使用可靠的模型可以提高识别的准确性。 ud通常,支撑结构是通过刚性基础或基座(即2 d.o.f)来表示的。质量-弹簧-阻尼器系统,但是这类模型通常不能正确地再现支撑结构的动力学行为对轴的影响,尤其是在存在耦合模式的大型机器中。因此,本文的特殊方面是使用模态基础来对机器的支撑结构进行建模,并且在第一部分中将详细讨论该方法。然后在频域的最小二乘识别技术中引入基础的模态表示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号