Air Compressor Fault Categorisation Program
This program was developed to demonstrate the working of a SVM classifier using text based classification.
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This is a hypothetical fault diagnostic system for an air compressor. The system uses Support Vector Machine Classification data mining model to categorize the defect proactively. This program makes use of text based categorisation of defects for the purpose and effectively demostrates the application of SVM.
Cite As
Faraaz Ahmad (2026). Air Compressor Fault Categorisation Program (https://in.mathworks.com/matlabcentral/fileexchange/136714-air-compressor-fault-categorisation-program), MATLAB Central File Exchange. Retrieved .
Verma, Nishchal K., et al. “Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors.” IEEE Transactions on Reliability, vol. 65, no. 1, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2016, pp. 291–309, doi:10.1109/tr.2015.2459684.
General Information
- Version 1.0.1 (507 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
