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  • 标题:Preventive Maintenance of Rotating Machines Using Signal Processing Techniques
  • 本地全文:下载
  • 作者:A. Ganguly ; Manoj K Kowar ; H. Chandra
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:35-40
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:This paper presents a method for analyzing the vibration signals of rotating machines and diagnoses preventive maintenance requirements using Vibration Signature Analysis Technique. The concept of Vibration Signature Analysis of Rotating Machines lies on the fact that all rotating machines in good condition have a fairly stable vibration pattern, which can be considered its 'Signature'. Under any anomalous condition of working of such machines, the vibration pattern gets changed. The amount of variation can be detected and the nature of anomalies can be analyzed to get an idea about the malfunctioning of the rotating machine. In order to develop the technique to be applied, it is proposed to simulate the vibration signals of a rotating machines using MATLAB to store the signature of rotating machines under healthy conditions. Deformation can now be introduced in the signature or can be acquired from other sources. Such deformed signals are to be processed in order to know the type of defect the rotating parts of the machine is suffering from. Based on the type of defect, preventive maintenance schedule can be proposed. This paper also aims at overcoming the limitations of traditional Vibration Signature Analysis techniques.
  • 关键词:Vibration Signals; Signature Analysis; Signal;Processing; Rotating machines; Preventive Maintenance.
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