PHI-Engine: from rotating detonation to the gas turbine's next fault, before it happens.

PHI-Engine runs two threads under one program. First: computational fluid dynamics research into rotating detonation engines — a propulsion architecture that trades conventional deflagration combustion for a continuously rotating detonation wave, promising higher thermodynamic efficiency than the turbines flying today. We ran a 72-case parameter sweep in OpenFOAM and published the resulting dataset openly rather than sitting on it.

Second: applying the same physics-informed approach to gas turbine prognostics — a model trained on a 27,000-sample dataset to flag turbine blade degradation before it becomes a maintenance event, benchmarked with a self-calibrating relative health baseline so it adapts to an individual engine's own operating signature rather than a fixed factory spec.

Full combustion CFD methodology and model weights are reserved for OEM and institutional partners under NDA — this page covers what the research does, not how it's built. The RDE-72 dataset itself is public on HuggingFace and Kaggle.