https://github.com/dedzago/statisticalprocessmonitoring.jl

Statistical Process Monitoring in Julia
https://github.com/dedzago/statisticalprocessmonitoring.jl

anomaly-detection change-detection control-chart spc spm sqc statistical-process-control statistical-process-monitoring

Last synced: 5 months ago
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Statistical Process Monitoring in Julia

• Host: GitHub
• URL: https://github.com/dedzago/statisticalprocessmonitoring.jl
• Owner: DedZago
• License: other
• Created: 2023-05-01T15:10:25.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-25T01:02:03.000Z (almost 2 years ago)
• Last Synced: 2025-10-21T12:46:23.318Z (5 months ago)
• Topics: anomaly-detection, change-detection, control-chart, spc, spm, sqc, statistical-process-control, statistical-process-monitoring
• Language: Julia
• Homepage:
• Size: 2.52 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.bib

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README

          
# StatisticalProcessMonitoring.jl: Statistical Process Monitoring in Julia

| Build | Coverage | Documentation |

|-------|----------|---------------|

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## Overview

**StatisticalProcessMonitoring.jl** is a comprehensive package for Statistical Process Monitoring, which provides users with tools for monitoring the stability of sequential processes.

## Package Features

This package implements a number of univariate and multivariate control charts, as well as control charts for monitoring partially-observed processes, profiles, and support for multi-chart designs.

Various type of control limits are implemented, with dedicated algorithms for estimating their values based on common metrics such as in-control average run length and in-control run length quantiles.

Hyperparameter tuning is supported with a native grid search implementation, as well as black-box optimization.

To ensure the package loads quickly, two extensions are [conditionally loaded](https://pkgdocs.julialang.org/v1/creating-packages/#Conditional-loading-of-code-in-packages-(Extensions)) only if needed:

* **PlottingSPM.jl**: functionalities for plotting the results of applying a control chart to a dataset. This extension can be loaded by running `using Plots` after loading the **StatisticalProcessMonitoring.jl** package.

* **NLoptSPM.jl**: functionalities for hyperparameter tuning using the [NLopt](https://github.com/JuliaOpt/NLopt.jl) package. This extension can be loaded by running `using NLopt` after loading the **StatisticalProcessMonitoring.jl** package.

The package is highly extensible and can incorporate custom monitoring statistics.