@CONFERENCE\{IMM2003-02465,
    author       = "N. H. Pontoppidan and J. Larsen",
    title        = "Unsupervised Condition Change Detection In Large Diesel Engines",
    year         = "2003",
    month        = "sep",
    keywords     = "Independent component analysis, change detection, large diesel engines",
    pages        = "565-574",
    booktitle    = "2003 {IEEE} Workshop on Neural Networks for Signal Processing",
    volume       = "",
    series       = "",
    editor       = "C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas and Jean Rouat",
    publisher    = "{IEEE} Press",
    organization = "",
    address      = "Piscataway, New Jersey",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/2465-full.html",
    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.",
    isbn_issn    = "0-7803-8178-5"
}