@inproceedings{f554d050f14b413a915bf35764572fa6,
title = "A discernibility matrix primitive based rule extraction method for wear pattern recognition of diesel engine from incomplete data",
abstract = "In order to extract simple and certain diagnostic rules for wear pattern recognition of diesel engine from incomplete data, a method is proposed to directly extract decision rules for fault diagnosis. After defining the discernibility matrix primitive, the definition of object-oriented discernibility matrix in incomplete decision table for fault diagnosis is also proposed. Using these concepts, the object-oriented discernibility function is constructed. With the basic equivalent forms in proposition logic such as distribution laws, absorption laws, a method is proposed to compute the minimal object-oriented reductions. With the method, the diagnostic decision rules are successfully extracted for engine wear pattern from incomplete data so that the simple and certain rule set is obtained.",
keywords = "Diesel engine, Discernibility matrix primitive, Incomplete data, Pattern recognition, Rule extraction, Wear",
author = "Wentao Huang and Weijie Wang and Qingxin Meng",
year = "2008",
doi = "10.1109/WCICA.2008.4593224",
language = "英语",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "1956--1960",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}