Student Work

A Dynamic Web-based Application and Visual Dashboard for Supporting Schneider Electric Machine Health Monitoring

Public Deposited

In this project, I propose to develop a dynamic web-based application and a visual dashboard to support the Schneider Electric (SE) machine health monitoring. To support these efforts, open-source software is used to develop the web application and its monitoring dashboards that can be used to analyze and visualize data specific to the SE machines and equipment, particularly the circuit breakers. The web application allows the SE users to upload and save their data, and view interactive visualizations and clusters to better understand and analyze the data. The monitoring dashboard allows the SE teams to view sensor data through interactive visualizations. By keeping an eye on the health of these machines and equipment, the SE teams and users can spot probable causes of circuit breakers’ failure, anticipate potential testing machine failures, check to see whether the testing machine is working properly, and even spot redundant tests.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • E-project-122222-091930
  • 84461
Advisor
Year
  • 2022
Sponsor
Date created
  • 2022-12-22
Resource type
Major
Source
  • E-project-122222-091930
Rights statement
Last modified
  • 2023-01-12

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Permanent link to this page: https://digital.wpi.edu/show/8k71nm319