tangletit's Stars
wangrenyisme/Shukongdashi
使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
guanyibing/Fault-diagnosis
基于深度学习机械设备故障诊断模型
jqsun1/NASA_CMAPSS
Jet engine project RUL
chandrasharma/cmapss_turbofan_data
mathworks/WindTurbineHighSpeedBearingPrognosis-Data
Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox
ruyueshuo/Prognosis-of-Rotor-Parts-Fly-off
Prognosis of Rotor Parts Fly-off
zhbink/2017-IndustryBigData
2017工业大数据 风机叶片预测
whoami-zy/fault-forecast
风机叶片开裂故障预警解决方案
Bingohong/2018-Industrial-Bigdata
2018年工业大数据创新竞赛-钢卷仓储吞吐量趋势预测
SUMMER629629/DaojuSystem
刀具管理系统,包括刀具管理、员工管理、刀具剩余寿命预测。
ultimatejoe/rul_of_cutter
刀具剩余寿命预测
haoheliu/DM_courseProject
KNN Bayes 西北工业大学 NWPU 数据挖掘与分析
XinArkh/Industrial_BigData_Competition_2017
2017工业大数据创新竞赛/风机叶片结冰预测大赛
Dear-orient/Blade_Monitorning_DAE
Condition monitoring of fan blades using Denoising Autoencoder
ace19-dev/image-retrieval-tf
image retrieval with cosine metric learning
AnjanDutta/sem-pcyc
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
altomator/Image_Retrieval
Image Retrieval in Digital Libraries - A Multicollection Experimentation of Machine Learning techniques
sagaramistry94/Image-Based-Calorie-Calculator
Calorie Calculator using Content Based Image Retrieval (CBIR)
nasa/PrognosticsAlgorithmLibrary
zw76859420/image-recognition
采用深度学习方法进行刀具识别。
BILLBEATTHEPEAT/2017-PHM-Challenge-Competition
The code for 2017 PHM Challenge Competition
GBrelurut/Mechanical_anomaly_detection
Repository gathering notebook, dataset and resulting file for mechanical anomaly detection
Hiiamein/motor_fault_diagnosis
雪浪工业数据智能挑战赛 工业智检——电机异音AI诊断
mjuez/im-fault-diagnosis-ml
Machine Learning implementations for IM fault diagnosis tasks
Gogulaanand/Fault-Diagnosis
A Neural Network based inter turn Fault diagnosis of a Synchronous generator
SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
Zzlmyself1994/PMSM-based-GAN-and-VAE
Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning
ninja1mmm/2018-phm-data-challenge
2018 phm data challenge, ion mill machine RUL & fault diagnosis
JaneKravchenko/EarthquakeDamageDetection
Buildings segmentation from satellite imagery and damage classification for each build
ertkrn/RoadDamageDetection-DeepLearning
It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and Convolutional Neural Networks (CNN), one of the most popular types of deep neural networks, are used. The TensorFlow library is trained through the Ssd Inception V2 Coco pre-trained model to detect damage to images. As a result of the tests and trainings, the closest determinations are 86%. In order to increase the accuracy of the training, the use of GPU, the magnification of the data set and the number of iterations were considered.