https://github.com/themuhd/vibration-sensor-fault-detection

Fault prediction performed from data on twenty vibration sensor readings
https://github.com/themuhd/vibration-sensor-fault-detection

machine-learning predictive-analytics predictive-modeling python seaborn-plots sensor-readings

Last synced: about 22 hours ago
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Fault prediction performed from data on twenty vibration sensor readings

• Host: GitHub
• URL: https://github.com/themuhd/vibration-sensor-fault-detection
• Owner: themuhd
• Created: 2023-09-13T17:44:46.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-13T17:57:12.000Z (about 1 year ago)
• Last Synced: 2023-09-14T08:34:43.071Z (about 1 year ago)
• Topics: machine-learning, predictive-analytics, predictive-modeling, python, seaborn-plots, sensor-readings
• Language: Jupyter Notebook
• Homepage:
• Size: 6.38 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Vibration-Sensor-Fault-Detection

Fault prediction performed from data on twenty vibration sensor readings

## Dataset

The dataset, FaultDataset.csv, consists of multiple rows, each containing twenty vibration sensor readings. The final column in the dataset is the target variable, where:

0 indicates that there was no fault with the machine at the time of the readings.

1 indicates that a fault was identified in the machine during the readings.

## Project Objective

Our primary objective is to develop a predictive maintenance model using machine learning techniques. By analyzing the sensor data, we aim to create a classification model that can accurately predict whether a fault exists in the machinery based on the vibration sensor readings.