https://github.com/biswajitsahoo1111/spca_comadem_codes

Applies sparse principal component analysis (SPCA) for machinery fault classification.

https://github.com/biswajitsahoo1111/spca_comadem_codes

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Applies sparse principal component analysis (SPCA) for machinery fault classification.

https://github.com/biswajitsahoo1111/spca_comadem_codes/blob/master/

This repository contains data and codes to reproduce results of the conference paper titled "[Feature subset selection using sparse principal component analysis and multiclass classification using selected features](https://link.springer.com/chapter/10.1007%2F978-3-030-57745-2_13)". The paper was presented at "32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management 2019 [(COMADEM 2019)](http://www.comadem.com/conferences/)". 

Codes are written in R and we have run it on R-3.5.3. The code will save some figures and tables in local directory. Some of those figures have been used in the paper. [IMS bearing](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#bearing) data have been used in this paper. We have extracted features from the original data. These feature matrices can be downloaded and used in the code.

## Package Requirements
Base R       : 3.5.3 ([MRO 3.5.3](https://mran.microsoft.com/release-history) can also be used) 

e1071        : 1.7-2 

ggplot2     : 3.0.0 

lars            : 1.2 

elasticnet   : 1.1.1 

If these packages are not already installed, command `install.packages("package_name")` can be used to install new packages.

For other reproducible results on condition monitoring, readers can visit [my project page](https://biswajitsahoo1111.github.io/cbm_codes_open/) on my [personal website](https://biswajitsahoo1111.github.io/).

--------------------------------
Cite this work as:
```
@incollection{Sahoo_2020,
	doi = {10.1007/978-3-030-57745-2_13},
	url = {https://doi.org/10.1007%2F978-3-030-57745-2_13},
	year = 2020,
	publisher = {Springer International Publishing},
	pages = {147--158},
	author = {Biswajit Sahoo and A. R. Mohanty},
	title = {Feature Subset Selection Using Sparse Principal Component Analysis and Multiclass Fault Classification Using Selected Features},
	booktitle = {Advances in Asset Management and Condition Monitoring}
} 
```

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