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

Muhamad Raynard Alif ; Mukhammad Andri Setiawan
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan I... 📅 2025 Vol 3, No 6 🔗 DOI: 10.61132/mars.v3i6.1262
Abstract
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 Simulated Annealing (SA) controller to optimize augmentation parameters. We introduce a novel technique, Stochastic Feature Decoupling (SFD), which applies independent noise to raw and derived features, contrasting it with traditional Logically-Consistent Augmentation (LCA). Empirical results show that SFD significantly outperforms LCA, achieving a weighted F1-score of 0.93 and increasing NORMAL class recall to 82%. We demonstrate that by breaking deterministic feature links, SFD acts as a robust regularizer, utilizing "physically impossible" data to enhance generalization in complex real-world environments.
Keywords
Model-Data Coevolution; Synthetic Data; Domain Gap; Sim-to-Real; Fault Detection and Diagnosis (FDD)
How to Cite

Muhamad Raynard Alif & Mukhammad Andri Setiawan (2025). Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis. Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, 3(6). https://doi.org/10.61132/mars.v3i6.1262

Muhamad Raynard Alif; Mukhammad Andri Setiawan, "Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis," Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, vol. 3, no. 6, 2025.

Muhamad Raynard Alif; Mukhammad Andri Setiawan. "Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis." Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, vol. 3, no. 6, 2025.

Muhamad Raynard Alif; Mukhammad Andri Setiawan. "Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis." Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer 3, no. 6 (2025).

Muhamad Raynard Alif & Mukhammad Andri Setiawan (2025) 'Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis', Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, 3(6). doi: 10.61132/mars.v3i6.1262.

Muhamad Raynard Alif; Mukhammad Andri Setiawan. Bridging The Synthetic-To-Real Gap: A Model-Data Coevolution Approach With Stochastic Feature Decoupling For Ac Unit Fault Diagnosis. Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer. 2025;3(6).

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