Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis

The scarcity of real-world data in Air-Conditioning (AC) fault diagnosis necessitates the use of synthetic data; however, rule-based synthetic datasets often suffer from a significant sim-to-real domain gap. To address this, we propose a Model-Data Coevolution (MDC) framework that employs a Simulate