Centrifugal Compressor Diagnosis Using Kernel PCA and Fuzzy Clustering-Reference-Cited by-同舟云学术

Centrifugal Compressor Diagnosis Using Kernel PCA and Fuzzy Clustering

Published:2018-11-12 Issue: Volume: Page:373-381
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

Liang X.,Duan F.,Mba D.,Ian B.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-95711-1_37

Reference18 articles.

1. Al Yahyai M, Mba D (2014) Rotor dynamic response of a centrifugal compressor due to liquid carry over: a case study. Eng Fail Anal 45:436–448

2. Alpaydin E (2014) Introduction to machine learning. MIT Press

3. Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Comput Geosci 10(2–3):191–203

4. Cao LJ, Chua KS, Chong WK, Lee HP, Gu QM (2003) A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing 55(1–2):321–336

5. Fouflias D et al (2010) Experimental investigation of the influence of fouling on compressor cascade characteristics and implications for gas turbine engine performance. Proc Inst Mech Eng Part J Power Energy 224(7):1007–1018

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