A data mining approach for fault diagnosis: An application of anomaly detection algorithm

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Purarjomandlangrudi, A, Ghapanchi, Amir ORCID: 0000-0002-1897-0748 and Esmalifalak, M (2014) A data mining approach for fault diagnosis: An application of anomaly detection algorithm. Measurement, 55. 343 - 352. ISSN 0263-2241

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/35581
DOI https://doi.org/10.1016/j.measurement.2014.05.029
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords defects; algorithms; SVM; support vector machine
Citations in Scopus 77 - View on Scopus
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