tangletit's Stars
fee78520/Bearing-fault-prediction
轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类
zhangjiali1201/Keras_bearing_fault_diagnosis
monologuesmw/bearing-fault-diagnosis-cnn
Siamese network for bearing fault diagnosis
hustcxl/Deep-learning-in-PHM
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
ddrrrr/bearing-fault-diagnosis
domain adaption with LSGAN for bearing fault diagnosis
SNBQT/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
hustcxl/Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
ZhangWei1993/Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
CNN for mechanical fault diagnosis
pwspace/DiagnosisDL2TF
使用TensorFlow建立简单的轴承故障诊断模型
pwspace/Bearing-fault-detection
轴承故障检测 训练赛第30名代码
wargod797/Fault_diagnosis_ballbearing_wavelet
Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity
sanidhyamishra/Digital-Destroyers
Alarm Flood Monitoring System
ksheedlo/pandamonium
Create random entities, checks, alarms, notification plans and suppressions in Rackspace Cloud Monitoring
liuhuipy/devops
基于Python3.5和Django1.10开发的自动化运维平台,平台功能有:CMDB资产管理、配置管理、用户管理、权限管理、系统监控、故障报警
piyu03/Machine-Health-Analysis-by-graphs
# Machine-Health-Analysis Machine condition monitoring is the process of monitoring the condition of a machine with the intent to predict mechanical wear and failure. Vibration, force,current,power,input rpm and output rpm measurements are often used as key indicators of the state of the drilling machine. We can use this information to detect warning signs early and help your organization stop unscheduled outages, optimize machine performance, and reduce repair time and maintenance costs
yuconan/DataCompetitionTopSolutions
DataCompetitionTopSolutions
SY575/DF-Early-warning-of-the-wind-power-system
wanlida/ML_note
machinelearning的笔记,以及其他编程学习笔记
pedrofrodenas/Violence-Detection-CNN-LSTM
Violence Detection tutorial using pre-trained CNN and LSTM
hasnainnaeem/Violence-Detection-in-Videos
Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua on HockeyFight dataset. Joshua's project was extended with real-time predictions on video feed coming from camera. Moreover, notebook is added to easily setup and run code on Google Colab.
wondonghyeon/protest-detection-violence-estimation
Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
mchengny/RWF2000-Video-Database-for-Violence-Detection
A large scale video database for violence detection, which has 2,000 video clips containing violent or non-violent behaviours.
Shiv-Kumar-Yadav9/Event-Detection-In-Classroom
In this repository the events in the classroom like sit, stand, walk and fight are detected and labelled.
Lucky-Loek/ieee-phm-2012-data-challenge-dataset
Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
yuxitong/TensorFlowAndroidDemo
TensorFlow android demo 车道线 车辆 人脸 动作 骨架 识别 检测 抽烟 打电话 闭眼 睁眼
ucow/Remote-monitoring-of-equipment
远程监控设备数据
karishma33/DetectionProject
This project performs near-real time detection and localization of anomalous events from surveillance videos using deep learning techniques.
JiangXiangBo/xgb-classification
基于xgboost的风力电机叶片结冰分类预测
huster123/1d-based-DCNN
一维卷积网络用于航空发动机剩余寿命预测
woshiyiduohua/paper-reading
故障诊断方面的论文阅读