Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,786 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Sep 201719922001200920172026
3 results for “combustors”
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approachcs.LG

Deep learning improves combustor anomaly detection in gas turbines.

problem Improving anomaly detection performance in gas turbine combustors.
method Hierarchically learned features from exhaust gas temperature sensor measurements using deep learning.
result Deep learning-based anomaly detection significantly improved combustor anomaly detection performance.
gas turbinescombustorsanomaly detectiondeep learningmachine learning
2019-08-25abs ↗pdf ↗
Toward Machine Learned Highly Reduce Kinetic Models For Methane/Air Combustionphysics.chem-ph

Compact models for methane/air combustion reduce complexity without sacrificing accuracy.

problem Creating accurate, computationally efficient models for methane combustion.
method Data-oriented three-step methodology: 1) Remove non-essential species, 2) Numerically optimize to key species profiles, 3) Machine learning to refine parameters.
result Produced 19 and 15 species compact models that outperform current state-of-the-art models in accuracy and range of conditions.
methane combustionkinetic modelsmachine learningreduced modelsturbine combustion
2021-03-15abs ↗pdf ↗