GASP: Gap Analysis for Spark Plug

Yelchuri, H and Kumar, AV and Sahu, S and Kumar, S and Godkhindi, S and Prabhakar, TV (2024) GASP: Gap Analysis for Spark Plug. In: UNSPECIFIED, pp. 312-314.

PDF 16th_Int_con_com_sys_net_2024. pdf - Published Version Restricted to Registered users only Download (12MB) | Request a copy

Abstract

Spark plugs are vital components in a variety of industries, yet their fault diagnosis is still performed manually. We propose a vision-based, low-power spark plug fault diagnosis system. We present two use cases for the designed system. The first use case involves gap calculation at the manufacturing and segregation unit thereby assisting in industrial automation. The second use case demonstrates the application of the designed vision-based system for the diagnosis of different states of the spark plug along with the gap analysis thus assisting the maintenance personnel to recognize faulty pieces. © 2024 IEEE.

Item Type:	Conference Paper
Publication:	2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	14 May 2024 11:01
Last Modified:	14 May 2024 11:01
URI:	https://eprints.iisc.ac.in/id/eprint/84440

Actions (login required)

View Item