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Goal

Basic Idea is to create open source product/tool which can automatically find faults and its type in different HVAC using Machine Learning Methodologies. This idea was published as a research paper and also accepted in a conference. Novelity and LIterature review is done to prove how idea is new and not being implemented before and it's use in today's condition.

Link of the research paper

https://bit.ly/2y0T2m8

Presentation

https://github.com/simransinghal/Fault-detection-and-diagnostics/blob/master/Presentation_automatedFDD.pdf

HVAC product Specifications

https://github.com/simransinghal/Fault-detection-and-diagnostics/tree/master/IIITH_FDD%20Product%20specificatione

Model Code with and without noise

https://github.com/simransinghal/Fault-detection-and-diagnostics/blob/master/fdd_svm_used_for_submission.py https://github.com/simransinghal/Fault-detection-and-diagnostics/blob/master/noise_used_for_submission.py


Resorces for Energy Recovery Wheel Units

  1. https://www.aivc.org/sites/default/files/airbase_13031.pdf
  2. https://www.sciencedirect.com/science/article/pii/S0017931098003251