Equipment Fault Diagnosis Based on Incomplete Rough Sets Theory
Yan Qin Su, Shan Gao, Ting Xue Xu · Advanced materials research · 2012
There are redundant, incomplete and incorrect data in the equipment test data gained by the test equipments. The complete algorithms and attribution reduction algorithms were analyzed and the equipment fault diagnosis model based on Rough Sets Theory was given. Then, some equipment was diagnosed, and the results indicate that the diagnosis is effective and efficient.