86 skills found · Page 1 of 3
ishtms / NodebookLearn and Master the complex parts of the Node.js Runtime. From V8's Turbofan optimizer to production deployments.
nasa / T MATSAn open source thermodynamic modeling package completed on behalf of NASA. The Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) package offers a MATLAB/Simulink toolbox that gives a developer the ability to create simulations of such thermodynamic systems as turbomachinery and gas turbines. Keywords: TMATS, Control System, Numerical Methods, Newton-Raphson, Jacobian Calculation, Propulsion, Aircraft Engine, Jet, Turbofan, Turbojet, Compressor, Turbine, Nozzle, Inlet, open source
jiaxiang-cheng / PyTorch Transformer For RUL PredictionTransformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
ata-core / Ata ValidatorNative C++ validator built on simdjson and RE2. Hybrid JS codegen with V8 TurboFan optimizations. Up to 94x faster on $dynamicRef, 5.3x on normal schemas, 2,051x faster compilation. Full $dynamicRef/$anchor support, Draft 2020-12 + Draft 7 compatible
titzer / V8 Native PrototypePrototype native decoder that targets TurboFan
archd3sai / Predictive Maintenance Of Aircraft EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
kpeters / Exploring Nasas Turbofan Datasetcollection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
UtkarshPanara / Remaining Useful Life Prediction For Turbofan EnginesRUL prediction for Turbofan Engine (CMAPSS dataset) using CNN
zhmou / Turbofan Engine RUL PredictionRUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
matthiaslau / Turbofan Federated Learning POCProof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.
DatrikIntelligence / Stacked DCNN RUL PHM21Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
Ali-Alhamaly / Turbofan Usefull Life Predictiongiven run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.
holden-mcgorin / UniPHMUnified PHM framework for Remaining Useful Life (RUL) prediction, fault diagnosis, fault detection, and anomaly detection for bearings, turbofan engines, and other industrial systems.
foryichuanqi / RESS Paper 2022.09 Remaining Useful Life Prediction By TaFCNThe source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.
JeremyFetiveau / Pwn Just In Time ExploitExploit for the [pwn] just-in-time challenge from google ctf 2018's finals (TurboFan bug)
JeremyFetiveau / TurboFan Exploit For Issue 762874Exploit for a bug in TurboFan's typing of JSCall nodes for builtins kStringLastIndexOf and kStringIndexOf
shining0611armor / Predicting Of Turbofan Engine Degradation Using The NASA C MAPSS DatasetThis repository contains the implementation of a method to predict the remaining useful life (RUL) of turbofan engines based on the NASA C-MAPSS dataset. The approach is based on the reference paper by Shcherbakov et al., 2022, and includes data preprocessing, model training, and evaluation steps.
Adithya-Thonse / N CMAPSS DLEstimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset
sabderra / Predictive Maintenance LstmPredicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
sivaji1233 / 09 Turbofan RulRemaining useful life prediction for turbofan engine data (C-MAPSS)
