Machine Failure Poisson Prediction

Poisson distribution to predict number of failures of a machine.

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Usage

Install the Shiny R package on your machine by running the following command on your R console:

install.packages("shiny")

Once finished installing, clone or download this repository and open the "app.R" file with Rstudio. Rstudio will automatically detect that it is a Shiny app file and a "Run App" button will appear on the top of the editor screen. Click the button to run the app.

Alternatively, with the repository cloned, open your R console and set the working directory to the absolute path where the repository was cloned:

setwd(path_to_cloned_repository)

Then, load the Shiny library and run the app by passing the directory having the app files "ui.R" and "server.R":

library(shiny)
runApp("app")

The app will start on a new browser tab in your default browser.

App Features

• The user can select one of three machine failure probabilities to predict:
  1. Probability of machine failing exactly x times;
  2. Probability of machine failing less than x times;
  3. Probability of machine failing more than x times.
• The user inputs the expected number of failures informed by the machine manufacturer;
• A barplot visually provides the probability for x machine failures;
• Additionally, the barplot also shows the probability for x-2, x-1, x+1 and x+2 machine failures;
• The x-axis labels present the exact probability per number of failures, calculated using the Poisson distribution.

User Interface Sample

Shiny is a framework that allows users to develop web apps using R and embedded web languages, such as CSS and HTML. Shiny apps focus on objectiveness and simplicity: only one or two R scripts have all the code for the app.

This app development started with knowledge and tools discussed during the course "Data Science Bootcamp" by Fernando Amaral. The app has been upgraded and personalized, adding new functionalities.