Fault identification and isolation in pneumatic valve using image processing

K. V. Santhosh, Vignesh Shenoy, Bhagya R. Navada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages205-210
Number of pages6
ISBN (Electronic)9781509016235
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Mangalore, India
Duration: 13-08-201614-08-2016

Conference

Conference2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016
CountryIndia
CityMangalore
Period13-08-1614-08-16

Fingerprint

Pneumatics
Image processing
Cameras
Pneumatic control
Stiction
Processing

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Santhosh, K. V., Shenoy, V., & Navada, B. R. (2016). Fault identification and isolation in pneumatic valve using image processing. In 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings (pp. 205-210). [7806219] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISCOVER.2016.7806219
Santhosh, K. V. ; Shenoy, Vignesh ; Navada, Bhagya R. / Fault identification and isolation in pneumatic valve using image processing. 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 205-210
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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.",
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Santhosh, KV, Shenoy, V & Navada, BR 2016, Fault identification and isolation in pneumatic valve using image processing. in 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings., 7806219, Institute of Electrical and Electronics Engineers Inc., pp. 205-210, 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016, Mangalore, India, 13-08-16. https://doi.org/10.1109/DISCOVER.2016.7806219

Fault identification and isolation in pneumatic valve using image processing. / Santhosh, K. V.; Shenoy, Vignesh; Navada, Bhagya R.

2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 205-210 7806219.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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Santhosh KV, Shenoy V, Navada BR. Fault identification and isolation in pneumatic valve using image processing. In 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 205-210. 7806219 https://doi.org/10.1109/DISCOVER.2016.7806219