Unsupervised Condition Change Detection In Large Diesel Engines |
Niels Henrik Pontoppidan, Jan Larsen
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| Abstract | This paper presents a new method for unsupervised change detection which combines independent component modeling and probabilistic outlier etection. The method further provides a compact data representation, which is amenable to interpretation, i.e., the detected condition changes can be investigated further. The method is successfully applied to unsupervised condition change detection in large diesel engines from acoustical emission sensor signal and compared to more classical techniques based on principal component analysis and Gaussian mixture models. |
| Keywords | Independent component analysis, change detection, large diesel engines |
| Type | Conference paper [With referee] |
| Conference | 2003 IEEE Workshop on Neural Networks for Signal Processing |
| Editors | C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas and Jean Rouat |
| Year | 2003 Month September pp. 565-574 |
| Publisher | IEEE Press |
| Address | Piscataway, New Jersey |
| ISBN / ISSN | 0-7803-8178-5 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |