Abstract

"ENGINEER", established in 1973 by The Institution of Engineers, is a Journal for dissemination of Engineering knowledge, published quarterly.Cover DescriptionCover images show a schematic diagram of a Pumped-Storage Hydroelectricity (PSH) facility and one of the promising sites for PSH in Sri Lanka. The latter image was obtained from the publicly available JICA report on “Development Planning on Optimal Power Generation for Peak Demand in Sri Lanka”. The Institution of Engineers, Sri Lanka acknowledges JICA for the image.If you are interested in contributing an Original Technical Paper based on research by the author(s) (intended for Section I) or an Original Article of Professional or Technical interest related to Engineering. (Section II) to this journal please go through the publication checklist which can be downloaded from here.

Highlights

  • Induction motors are the most commonly encountered electrical machines in the industry due to their self-starting features, simplicity, reliability, and cost-effectiveness

  • Only a few developed techniques can be found on continuous monitoring with trend analysis which is imperative for an industrial perspective [11]

  • Considering the easiness of integration with existing machinery and technologies, IoT (Internet of Things) techniques are used for condition monitoring based on both scheduled intervals [13] and real time condition monitoring [14], taking account of the RMS value of the vibration spectrums of induction motors

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Summary

Introduction

Induction motors are the most commonly encountered electrical machines in the industry due to their self-starting features, simplicity, reliability, and cost-effectiveness. Apart from this, deep learning based vibration analysis techniques have been developed and implemented in the industry for online monitoring [10]. Only a few developed techniques can be found on continuous monitoring with trend analysis which is imperative for an industrial perspective [11]. Some comprehensive researches have already revealed that the RMS value of the acquired motor vibration signal can be trended throughout the operating time and early-stage fault detection can be implemented [12]. Considering the easiness of integration with existing machinery and technologies, IoT (Internet of Things) techniques are used for condition monitoring based on both scheduled intervals [13] and real time condition monitoring [14], taking account of the RMS value of the vibration spectrums of induction motors. There exists wireless vibration monitoring systems instead of wired

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