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Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.
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
Using LSTM to predict bearings' remaining useful life
CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)
Based on http://aqibsaeed.github.io/2016-11-04-human-activity-recognition-cnn/ and lstm
Draw multi-layer neural network in your browser
deepsort结合yolov5测试现实中小车经过的时间和速度,判断是不是存在超速行为,并将结果通过rabbitmq输出
Arduino library for Maxim DS2431 1-Wire EEPROM
Intelligent monitoring of escalator.Function including traffic statistics,passenger retention detection and large object retention detection in escalator floor board. As well as human keypoints extraction and tracking in elevator.
Energy Prediction System with a neural network (CNN-LSTM) in a Jetson Nano.
User friendly DSP high/low/band-pass windowed sync filter, implemented in C++.
GoLive is a live streaming android app based on WebRTC & MQTT.
IoT project using ESP32 + MPU6050 for vibration monitoring
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Machine Condition Monitoring using Bearing Vibration Data
Convolutional Neural Network for Nonintrusive Load Monitoring
Non-Intrusive Load Monitoring Toolkit (nilmtk)
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
Peak and RMS meter for audio files
WebRTC Library for IoT/Embedded Device using C
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
DSP for shortwave receivers with dynamic filtering capability - Pass Band Tuning, AGC and DNR
measure and plot audio file (peak and RMS), measure pulseaudio
Predict remaining useful life of a machine from it's historical data using CNN and LSTM
Implementation of Paper:Self-Attentive Moving Average for Time Series Prediction
A CNN + LSTM architecture to predict seizure from EEG data
TensorRT C++ Implementation of openpose
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.