Self-organizing map based fault diagnosis technique for non-gaussian processes
A self-organizing map (SOM) based methodology is proposed for fault detection and diagnosis of processes with nonlinear and non-Gaussian features. The SOM is trained to represent the characteristics of a normal operation as a cluster in a two-dimensional space. The dynamic behavior of the process sy...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
American Chemical Society
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/62549/ http://dx.doi.org/10.1021/ie500815a |
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| Institution: | Universiti Teknologi Malaysia |