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bearing-fault-detection

Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.

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

bearingrul

Using LSTM to predict bearings' remaining useful life

cnn-for-har-on-wisdm-dataset

CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)

cnnpluslstm

Based on http://aqibsaeed.github.io/2016-11-04-human-activity-recognition-cnn/ and lstm

convnetdraw

Draw multi-layer neural network in your browser

deepsort-yolov5-car

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

ds2431_arduino

Arduino library for Maxim DS2431 1-Wire EEPROM

elevator-monitor

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.

eps-jetson-nano

Energy Prediction System with a neural network (CNN-LSTM) in a Jetson Nano.

fir-filter-demo-cpp

User friendly DSP high/low/band-pass windowed sync filter, implemented in C++.

golive

GoLive is a live streaming android app based on WebRTC & MQTT.

iot-predictive

IoT project using ESP32 + MPU6050 for vibration monitoring

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

machine-condition-monitoring

Machine Condition Monitoring using Bearing Vibration Data

nilmcnn

Convolutional Neural Network for Nonintrusive Load Monitoring

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

online-realtime-action-recognition-based-on-openpose

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

peakrmsmeter

Peak and RMS meter for audio files

pear

WebRTC Library for IoT/Embedded Device using C

pytorch-lstm-for-rul-prediction

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.

radiodsp-mini-stm32f407

DSP for shortwave receivers with dynamic filtering capability - Pass Band Tuning, AGC and DNR

rms

measure and plot audio file (peak and RMS), measure pulseaudio

rul-prediction-using-attention-based-deep-learning-approach

rul_using_cnn_lstm

Predict remaining useful life of a machine from it's historical data using CNN and LSTM

sama

Implementation of Paper：Self-Attentive Moving Average for Time Series Prediction

seizureprediction

A CNN + LSTM architecture to predict seizure from EEG data

tensorrt-openpose

TensorRT C++ Implementation of openpose

vibration-based-fault-diagnosis-with-low-delay

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.

vibrationmeter