Separation of potential field data using 3-D principal component analysis and textural analysis
نویسندگان
چکیده
منابع مشابه
analysis and interpretation of bearing vibration data using principal component analysis and self - organizing map
induction motor bearing is one of the key parts of the machine and its analysis and interpretation are important for fault detection. in the present work vibration signal has been taken for the classification i.e. bearing is healthy (h) or defective (d). for this purpose, clustering based classification of bearing vibration data has been carried out using principal component analysis (pca) and ...
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ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2009
ISSN: 0956-540X,1365-246X
DOI: 10.1111/j.1365-246x.2009.04357.x