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estimation-of-remaining-useful-life-using-cnn

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

fft-and-welch-method

App calculating complex signal FFT and averaging noisy signal spectrum using Welch algorithm.

filter-c

Elegant Butterworth filter in C, with float/double precision support. Works well cross-platform.

fmit

Free Music Instrument Tuner (FMIT)

helicopter_drivetrain_vibration_anomaly

Helicopter drivertrain vibration (Condition based monitoring)

human-activity-recognition-using-lstm-neural-networks-

The dataset consists of 10929 instances and 561 features, which is captured using an accelerometer and a gyroscope. The data is taken from 3-axial linear acceleration and 3-axial angular velocity data for 30 people performing static, dynamic and postural transitions . A Neural Network is built with 2 LSTM cells to classify the kind of activity the person is performing.

i-care-vib-analysis

Vibration Analysis for I-Care sensors data on Intelligent Plant Ops bench

ieee-etfa2020-paper

Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data

kurtogram-analysis

A Python clone of the Matlab Kurtogram function

live-specgram

Real time running spectrogram from local microphone

lstm_neural_network_pump_vibration

max31855

max31855-1

Simple C library for handling the data read from the Maxim Integrated MAX31855 chip.

mche485---mechanical-vibrations

Code supporting MCHE485: Mechanical Vibrations at the Univsersity of Louisiana at Lafayette

mdpi-arci2021-paper

mechanical-datasets

ml0120en

All notebooks and solved exercises from BigDataUniversity - Deep Learning with Tensor Flow Course.

neural_networks_pump_vibration

node-accelerometer-python

IoC proof of concept with node-red an a I2C accelerometer using python service

pec00025

Introduction to Vibration Theory

predictive-analytics

This notebook is intended to illustrate conditioning monitoring of industrial machinery by walking through a real life dataset of bearing vibration data.

predictive-maintenance

Demonstration of MapR for Industrial IoT

predictive-maintenance-1

A notebook tutorial series for performing predictive maintenance using machine learning

predictive-maintenance-2

Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibration signal as healthy or faulty and on the other hand, given a signal predicting time to failure based on early anomaly detection.

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

predictivemaintenance-and-vibration-resources

Papers and datasets for Vibration Analysis

raspi-max31865-spi

resonance

Learning Mechanical Vibration Engineering Through Computation

ross

ROSS is a library written in Python for rotordynamic analysis.

rpi-i2s

Using the ICS43432 MEMS microphone on a Raspberry Pi with i2s