Fault identification and isolation in pneumatic valve using image processing

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

doi:10.1109/DISCOVER.2016.7806219

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 proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	205-210
Number of pages	6
ISBN (Electronic)	9781509016235
DOIs	https://doi.org/10.1109/DISCOVER.2016.7806219
Publication status	Published - 2016
Event	2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Mangalore, India Duration: 13-08-2016 → 14-08-2016

Conference

Conference	2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016
Country/Territory	India
City	Mangalore
Period	13-08-16 → 14-08-16

All Science Journal Classification (ASJC) codes

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

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10.1109/DISCOVER.2016.7806219

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

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title = "Fault identification and isolation in pneumatic valve using image processing",

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.",

author = "Santhosh, {K. V.} and Vignesh Shenoy and Navada, {Bhagya R.}",

year = "2016",

doi = "10.1109/DISCOVER.2016.7806219",

language = "English",

pages = "205--210",

booktitle = "2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 ; Conference date: 13-08-2016 Through 14-08-2016",

}

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 proceeding › Conference contribution

TY - GEN

T1 - Fault identification and isolation in pneumatic valve using image processing

AU - Santhosh, K. V.

AU - Shenoy, Vignesh

AU - Navada, Bhagya R.

PY - 2016

Y1 - 2016

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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M3 - Conference contribution

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BT - 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 13 August 2016 through 14 August 2016

ER -

Fault identification and isolation in pneumatic valve using image processing

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