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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 Pi MPU6050

Flask Server:

Python Flask

Web Application (Click here to access web application):

React NodeJS Express.js Supabase

Pinned Loading

  1. capstoneHardware capstoneHardware Public

    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. capstoneFlask capstoneFlask Public

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

    Python 1

  3. capstone capstone Public

    A web application to view data.

    JavaScript 1

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