ML-PSE / Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-EvaluationLinks
Datasets from a fluid catalytic cracking unit to evaluate FDD techniques
☆15Updated last year
Alternatives and similar repositories for Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-Evaluation
Users that are interested in Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-Evaluation are comparing it to the libraries listed below
Sorting:
- Code repository for the book 'Machine Learning in Python for Process Systems Engineering'☆25Updated last year
- ☆14Updated 2 years ago
- Aspen Plus - Python interface which acts as an API to automate the design synthsis. It includes all variables for RADFRAC, DSTWU, Flash2,…☆77Updated last year
- Hands-on material for a Machine Learning in Chemical Engineering course☆100Updated last year
- pyPhi is a python package to perform multivariate analysis using PCA and PLS methods☆49Updated 2 weeks ago
- This is a Python package for AspenPlus manipulating.☆39Updated 6 years ago
- Aspen HYSYS - Python connection☆61Updated last year
- A repository with examples on essential knowledge of chemical engineering.☆54Updated 5 months ago
- ☆89Updated 3 months ago
- Modeling and Simulation of Multicomponent Distillation Columns☆30Updated last year
- Code Repository for ChE 197 and ChE 297, machine learning courses for Chemical Engineers at UP Diliman☆24Updated 7 months ago
- A Python package for adsorption processes☆22Updated 2 months ago
- Hybrid Modeling Framework☆25Updated 2 years ago
- Hybrid (Physics-Informed) Machine Learning☆46Updated 2 months ago
- Abstract layer over Aspen HYSYS using Python☆13Updated last year
- Mass and energy differential analysis for a Packed Bed Reactor (PBR) to produce the fuel additive MMH. This design was completed for my C…☆15Updated 6 years ago
- Building a Fischer–Tropsch reactive distillation simulator using Pyomo☆13Updated 6 years ago
- The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.☆22Updated 2 years ago
- A lightweight Python module that applies Pinch Technology principles, analysing a given set of stream data to find the Maximum Energy Rec…☆31Updated 6 years ago
- Introduction to Python for Chemical Engineers☆22Updated last year
- Classic problems in chemical engineering solved with matlab☆21Updated 5 years ago
- Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equation…☆14Updated last year
- Materials for my undergraduate course on Chemical Engineering Kinetics and Reactor Design at Northeastern University☆16Updated last year
- Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)☆36Updated 3 years ago
- ☆26Updated 4 months ago
- This repository contains exercises that demonstrate how to automate these unit operations using DWSim. These exercises include code examp…☆14Updated last month
- ☆27Updated 2 years ago
- A suite of process models implemented in both Aspen Custom Modeler and gPROMS Model Builder, as well as models implemented within Aspen P…☆23Updated 7 years ago
- Conversion between PFDs/P&IDs and SFILES 2.0 strings☆53Updated last month
- Deep reinforcement learning for design of chemical engineering processes☆34Updated 2 years ago