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@Project-Machine-Health-Monitoring

Smart Wireless Sensor for Machine’s Health Condition Monitoring

An organization representing the work done for our AUBH capstone project in 2023/2024.
README.md

Smart Wireless Sensor for Machine’s Health Condition Monitoring

Done by (Click here to view presentation):

  • Ali Adel Abdulla
  • Imran Nasir
  • Shahd Hamad

Citation:

If you use this work in your research, please cite it as:

@article{Abdulla2024,
author = "Ali Abdulla and Shahd Hamad and Imran Nasir",
title = "{Smart Wireless Sensor for Machine’s Health Condition Monitoring}",
year = "2024",
month = "6",
url = "https://aubh.figshare.com/articles/thesis/_b_Smart_Wireless_Sensor_for_Machine_s_b_b_Health_Condition_Monitoring_b_/25997221",
doi = "10.58014/aubh.25997221.v1"
}

Project Overview:

  • Monitoring machine health is crucial for minimizing risks and financial losses.
  • Vibrational analysis is an effective method for evaluating machine conditions.
  • MEMS sensors offer affordability and are suitable for wireless smart sensors.

Tools Used:

Hardware:

Raspberry PiMPU6050

Flask Server:

PythonFlask

Web Application (Click here to access web application):

ReactNodeJSExpress.jsSupabase

Pinned Loading

  1. capstoneHardwarecapstoneHardwarePublic

    This Python script enables the collection and logging of data from an MPU6050 sensor while also integrating with the Supabase database for storage.

    Python 1

  2. capstoneFlaskcapstoneFlaskPublic

    A Flask server for post-processing raw data from the sensors.

    Python 1

  3. capstonecapstonePublic

    A web application to view data.

    JavaScript 1

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