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2024 | OriginalPaper | Chapter

Development of a Health Indication System via Vibration for Pre-diagnosis

Authors : Mohd Fauzi Abu Hassan, Muhammad Nazrul Zharif Mohd Zaini, Muhammad Khusairi Osman, Zakiah Ahmad, Zainal Nazri Mohd Yusuf

Published in: IT Solutions for Sustainable Living

Publisher: Springer Nature Switzerland

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Abstract

The chapter delves into the development of a health indication system that utilizes vibration analysis for pre-diagnosing machine conditions, particularly focusing on motor health. The project aims to create a low-cost, effective tool for determining machine condition through vibration analysis. It discusses the problem of common users lacking the engineering skills to detect machine issues early, leading to costly maintenance. The solution involves a vibration meter and an algorithm to interpret the vibration data, making it user-friendly. The methodology includes hardware and software development, as well as extensive experimentation on AC motors. The results show that the system can accurately determine the condition of motors, distinguishing between smooth and rough conditions. The chapter concludes with the potential of integrating IoT for advanced monitoring, highlighting the importance of vibration analysis in extending machine lifespan and improving maintenance efficiency.

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Literature
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Metadata
Title
Development of a Health Indication System via Vibration for Pre-diagnosis
Authors
Mohd Fauzi Abu Hassan
Muhammad Nazrul Zharif Mohd Zaini
Muhammad Khusairi Osman
Zakiah Ahmad
Zainal Nazri Mohd Yusuf
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-51859-1_12