Alternatives and similar repositories for Process_Monitoring:

Users that are interested in Process_Monitoring are comparing it to the libraries listed below

• pimlphm / Physics-informed-machine-learning-based-on-TCN
  A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…
  ☆27Updated 2 years ago
• piotrmirowski / DGA
  Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"
  ☆12Updated 4 years ago
• benelgiz / cureDDrone
  Data Driven Fault Diagnosis
  ☆15Updated 6 years ago
• fguc / SensorFDwithPITL
  Sensor Fault Diagnosis with Physics Informed Transfer Learning
  ☆12Updated 3 years ago
• liguge / FWA-DBN-ELM-for-intelligent-fault-diagnosis
  FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断
  ☆27Updated 2 years ago
• tony-psq / SWLSTM_GPR
  A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…
  ☆10Updated 5 years ago
• tinglixie / msf-rescnn-fd
  code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"
  ☆34Updated 2 years ago
• hezhijing / Intelligent-fault-diagnosis-of-wind-turbine-gearbox-based-on-CNN
  ☆16Updated 5 years ago
• LeonGuo1988 / RemainingUsefulLife
  It is a collection of all kinds of feature extraction and recognition algorithms
  ☆12Updated 10 years ago
• DouwMarx / Hybrid_Approach_To_Planetary_Gearbox_Prognostics
  Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)
  ☆9Updated 4 years ago
• e-controls / Sim3Tanks
  A Benchmark Model Simulator for Process Control and Monitoring
  ☆8Updated 3 weeks ago
• azollanvari / FaultPrognosisDL
  ☆12Updated 4 years ago
• Ocramnaig94 / digital-twin-for-aircraft-engine-maintenance
  A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…
  ☆10Updated 2 months ago
• aysunrhn / Adaptive-Soft-Sensor-Design
  Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
  ☆20Updated 5 years ago
• Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNs
  Reproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""
  ☆22Updated 2 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• arthurviens / bayesrul
  Bayesian Neural Networks to predict RUL on N-CMAPSS
  ☆19Updated 2 years ago
• YW81 / MachineFaultDiagnosisToolbox
  ☆9Updated 8 years ago
• Ankur6889 / Fault-Diagnosis-of-a-Rotating-Machinery
  The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improv…
  ☆11Updated 2 years ago
• sliu7102 / SQ-dataset-with-variable-speed-for-fault-diagnosis
  Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…
  ☆27Updated last year
• VNemani14 / HIconstruct_optimize
  Contains code to compare several health index construction methods using run-to-failure bearing dataset
  ☆20Updated 2 years ago
• Lichen0102 / Multi-mode-Fault-Diagnosis-Datasets-with-TE-process
  Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algor…
  ☆26Updated last year
• ZhaoZhibin / Explainability-driven_SOH
  ☆8Updated 2 years ago
• yaole0720 / VTR-based-Soft-Sensor
  Variable Time Reconstruction based modeling framework for soft sensor development
  ☆13Updated 5 years ago
• Xunannn / CVTGR-model
  CEEMDAN-VMD-TCN-GRU&RF model
  ☆12Updated 11 months ago
• iamownt / LSTM-DeepFM
  Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
  ☆28Updated 3 years ago
• yzbbj / Bayesian-optimized-CNN
  Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
  ☆14Updated 2 years ago
• Yorkson-huang / KOA-CNN-LSTM-Attention
  ☆21Updated last month
• lucadellalib / bayesian-deep-rul
  Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
  ☆15Updated 3 years ago
• JustusvLiebig / Inferential_Sensor_Experiment
  Soft Sensor with Variational Inference Technique
  ☆19Updated 6 months ago