Yelchuri, H and Godkhindi, S and Prajwal, BN and Shastry, V and Prabhakar, TV (2024) SmartSV: Real-Time Solenoid Valve Diagnosis at Embedded Edge-Level. In: UNSPECIFIED, pp. 294-296.
PDF
16th_Int_con_com_sys_net_2024.pdf Restricted to Registered users only Download (2MB) | Request a copy |
Abstract
In industrial process automation, sensors, controllers, and actuators are expected to be healthy throughout, so that production lines are working under pre-defined conditions. When these systems malfunction, alerts have to be generated in real-time to make sure production quality is not compromised and also the safety of humans and equipment is assured. In this work, we describe the construction of SmartSV, a smart real-time edge-based system, which monitors the health of a Solenoid Valve (SV). SmartSV is compact, low power, easy to install, and cost-effective. It has data fidelity and measurement accuracy comparable to signals captured using high-end equipment. SmartSV runs TinyML and is able to differentiate between the distinct types of faults. These faults include: (a) Spool stuck (b) Spring failure and (c) Under voltage. © 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: | 16 May 2024 05:03 |
Last Modified: | 16 May 2024 05:03 |
URI: | https://eprints.iisc.ac.in/id/eprint/84438 |
Actions (login required)
View Item |