Covid-19 Interior Security Tracking System Based on the Artificial Intelligence

Ahmed, Alim Al Ayub; Gupta, Nimit; Iqbaldoewes, Rumi; Krishna, M. Murali; Bandyopadhyay, Rumki; Mohiddin, Md. Khaja

doi:10.1007/978-981-19-0108-9_48

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2022

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“…In reference paper [10], it can be analyzed that after data acquisition, various fault detection methods can be adopted, and it has been concluded that MCSA method is best for fault detection in electrical motors [12,13]. Motor current signature analysis is a popular predictive maintenance tool…”

Section: Related Workmentioning

confidence: 99%

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

Shukla

Chacko³

et al. 2022

Journal of Sensors

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The condition monitoring of rotating machines for critical applications plays an important role in reducing downtime. With Industry 4.0, the role of IoT in online condition monitoring of electrical machines has gained considerable significance. The main aim of the paper is the use of IoT for online monitoring of motor parameters like current, temperature, vibration, and humidity and observing its online trending using a web server. Data can be accessed in form of graphs and widgets by visiting the web page. The advantage of this project is the real-time monitoring of the motor from any remote area and in case of any abnormality operating personnel can take necessary steps for preventing complete breakdown. The proposed work can help industry people in online monitoring of motors and in the future work can be extended for fault prediction and classification.

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Section: Related Workmentioning

confidence: 99%