Alternatives and similar repositories for deep-sensor

Users that are interested in deep-sensor are comparing it to the libraries listed below

• malyvsen / bearing-fault-detection
  Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
  ☆31Updated 6 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆69Updated 7 years ago
• mjuez / early-im-fault-diagnosis
  🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees
  ☆34Updated 4 years ago
• wargod797 / Fault_diagnosis_ballbearing_wavelet
  Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…
  ☆99Updated 5 years ago
• matheuscnali / bearing_rul_predict
  ☆53Updated 2 years ago
• raady07 / CNN-for-bearing-fault-diagnosis
  CNN applied to bearing signals for analysis
  ☆91Updated 5 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆94Updated 4 years ago
• naikio / LSTM_encoder_decoder_for_prognostics
  ☆11Updated 7 years ago
• robot007 / PHM15
  Data for PHM 2015 data challenge
  ☆15Updated 9 years ago
• haitaozhao / LSTM_fault_detection
  ☆54Updated 7 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆39Updated 7 years ago
• biswajitsahoo1111 / cbm_codes_open
  This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
  ☆93Updated 8 months ago
• kidozh / keras_detect_tool_wear
  Tool wear prediction by residual CNN
  ☆77Updated 4 years ago
• mathworks / RollingElementBearingFaultDiagnosis-Data
  Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
  ☆38Updated 2 years ago
• tashrifbillah / Remaining-Useful-Life-Estimation-of-Rocket-Engines
  Similarity matching based remaining useful life estimation
  ☆29Updated 7 years ago
• sabderra / predictive-maintenance-lstm
  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
  ☆36Updated 6 years ago
• schwxd / LSTM-Keras-CMAPSS
  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
  ☆90Updated 6 years ago
• WH-Huan / JL-CNN
  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.
  ☆24Updated 4 years ago
• soham97 / Remaining_useful_life_NASA
  RUL Nasa Turbofan Dataset (paper)
  ☆26Updated 5 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆83Updated 6 years ago
• ddrrrr / bearing-fault-diagnosis
  domain adaption with LSGAN for bearing fault diagnosis
  ☆74Updated 7 years ago
• dependable-cps / AdversarialAttack-PHM
  ☆27Updated 4 years ago
• eejlny / LSTM_FUSION
  data set and models for IEEE access paper "Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"
  ☆20Updated 5 years ago
• amer / IMPRO
  Prediction of remaining useful life (RUL)
  ☆17Updated 7 years ago
• mksadoughi / pybearing
  A python toolkit for bearing fault detection using deep learning
  ☆20Updated 6 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆35Updated 3 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆46Updated 7 years ago
• LahiruJayasinghe / RUL-Net
  Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
  ☆243Updated 4 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• aqibsaeed / Estimation-of-Remaining-Useful-Life-using-CNN
  Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
  ☆139Updated 6 years ago