Fault identification and isolation in pneumatic valve using image processing

K. Santhosh, Vignesh Shenoy, Bhagya R. Navada
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引用次数: 1

Abstract

This paper presents a technique for analysis of fault in pneumatic control valve. The objective of the paper is to develop a non-contact process for detection of faults in control valve if any, using a camera. The proposed design is designed to identify the faults in valve. Once the fault is identified, the next step is to isolate the fault by indicating the type of fault so that necessary action can be taken. The proposed technique is programmed to identify stiction, and stem alignment faults. Video of the process captured from camera is acquired on to the system for processing, identifying and isolating the faults by analyzing the fault signature. The process once designed is tested under real life situation. Results obtained show that the proposed technique was able to identify the faulty control valve, along with indicating the type of fault.
基于图像处理的气动阀门故障识别与隔离
提出了一种气动控制阀故障分析方法。本文的目的是开发一种非接触式的过程来检测故障的控制阀,如果有的话,使用相机。提出的设计是为了识别阀门的故障。一旦确定了故障,下一步就是通过指出故障的类型来隔离故障,以便采取必要的措施。所提出的技术被编程用于识别粘滞和阀杆对准故障。将摄像机拍摄的过程视频传输到系统中,通过分析故障特征进行处理、识别和隔离故障。该流程一旦设计完成,就会在实际情况下进行测试。结果表明,该方法能够识别出故障控制阀,并指出故障类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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