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ISSN: 2395-1052 • IF: 7.883
ISSN: 2395-1052 | International Peer-Reviewed Open Access Journal
Volume 12, Issue 10 (October 2026) Electrical And Electronics Engineering OPEN ACCESS PEER-REVIEWED

Automatic Industrial Fault Detection And IoT Based Remote Monitoring

Dr. Linganagouda R1 • Ashwini V2 • B Padma3 • Adarsh S4 • Shiva Naik5
[1] Rao Bahadur Y Mahabaleshwarappa Engeneering College Ballary
[2] Rao Bahadur Y Mahabaleshwarappa Engeneering College ,ballary
[3] Rao Bahadur Y Mahabaleshwarappa Engeneering College ,ballary
[4] Rao Bahadur Y Mahabaleshwarappa Engeneering College , Ballary
[5] Rao Bahadur Y Mahabaleshwarappa Engeneering College ,ballary
Published: October 23, 2026 • Paper ID: IJSARTV12I10105970 • ISSN: 2395-1052

Abstract

- Industrial safety requires continuous monitoring to identify hazardous conditions before they cause damage or disruption. This paper presents an Automatic Industrial Fault Detection and IoT-based Remote Monitoring System. Sensors monitor temperature, smoke/gas, fire, light intensity, and human motion. Arduino Uno processes the readings and checks them against predefined thresholds. When an abnormal condition is detected, the system can activate an alarm or suitable output and send an alert through a GSM/GPRS module. Sensor information can also be sent to an online platform for remote monitoring. The proposed system aims to improve awareness of industrial hazards, support faster responses, and reduce dependence on manual inspection.

Publication Specifications

Journal
International Journal for Science and Advance Research In Technology
ISSN (Online): 2395-1052
Issue & Volume
Volume 12, Issue 10 (October 2026)
Impact Factor: 7.883
Research Domain
Peer Review: Peer Reviewed
Paper Tracking ID
IJSARTV12I10105970
Access: Full Open Access

How to Cite This Research

Standard citation formats for researchers, scholars, and academic bibliographies.
Dr. Linganagouda R, et al. (2026). Automatic Industrial Fault Detection And IoT Based Remote Monitoring. International Journal for Science and Advance Research In Technology (IJSART), 12(10), 105970. https://ijsart.com/automatic-industrial-fault-detection-and-iot-based-remote-monitoring-105970
Dr. Linganagouda R, et al. "Automatic Industrial Fault Detection And IoT Based Remote Monitoring." International Journal for Science and Advance Research In Technology (IJSART), vol. 12, no. 10, 2026, pp. 105970.
Dr. Linganagouda R, et al., 2026. Automatic Industrial Fault Detection And IoT Based Remote Monitoring. International Journal for Science and Advance Research In Technology (IJSART), 12(10). Available at: <https://ijsart.com/automatic-industrial-fault-detection-and-iot-based-remote-monitoring-105970>.
@article{ijsart_105970,
  title = {{Automatic Industrial Fault Detection And IoT Based Remote Monitoring}},
  author = {{Dr. Linganagouda R and Ashwini V and B Padma and Adarsh S and Shiva Naik}},
  journal = {{International Journal for Science and Advance Research In Technology (IJSART)}},
  volume = {12},
  number = {10},
  year = {2026},
  issn = {{2395-1052}},
  url = {{https://ijsart.com/automatic-industrial-fault-detection-and-iot-based-remote-monitoring-105970}}
}

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