Machine learning-based fault detection in a R-290 residential heat pump unit – Part 1

As heat pumps become a key technology in the transition towards more sustainable heating and cooling systems, reliability throughout the equipment lifecycle is becoming an increasingly strategic issue.

In his latest blog post, Daniele Scapin, Application Developer at CAREL, explores machine learning-based fault detection in a residential R-290 heat pump unit.

The article explains why Fault Detection and Diagnosis is gaining importance in HVAC/R, how simulation can help overcome the lack of real fault datasets, and how a virtual heat pump model can generate robust data for future machine-learning applications.

Read the full article here