Title webinar

Fault experiments to generate data from living laboratory

 

Description

In order to develop AFDD algorithms, there is a need to generate a high-quality dataset for their training. In this webinar, the steps followed to obtain this dataset through fault experiments is explained through the following sections:

 

1. Preparation: This section will cover topics such as re-commissioning, installing additional sensors, selection of faults and their severity setting
2. Fault experiments: Implementation of the faults, sensor data collection through BMS, collection of occupant feedback
3. Data exploration
4. Looking ahead: Shortcomings and future plans

 

Speakers: Karzan Mohammed and Srinivasan Gopalan

 

 

Karzan and Srinivasan are PhD candidates at Eindhoven University of Technolog, department of Built Environment.