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A Fusion Algorithm of Equipment Fault Prediction Based on Rough Set theory and Grey Model ×÷Õß:Zhang Guangyi; Su Yangin; Ma Yingliang; Xu Aigiang Computer Measurement & Control ¾í: 20 ÆÚ: 2 Ò³: 291-3, 306 ³ö°æÄê: Feb. 2012 ÕªÒª Rough Sets Theory and Grey System Theory both have the same advantage of processing inaccuracy data, so a fusion algorithm based on Rough Sets Theory and GM (1, 1) Grey prediction model is proposed. The attribute reduction algorithm of Rough Sets Theory reduces the fault diagnosis decision table, and the optimal diagnosis rules are deduced. Then, GM (1, 1) calculates the condition attributes predicted value of reduced decision table by their test value, which substitutes back to the reduction diagnosis decision table for fault prediction. It is verified in one fault of some aero radio equipment, and the results indicate that the efficiency and accuracy of fault prediction are both quite higher, which provides the foundation to improve the equipment reliability and maintainability. ×÷ÕßÐÅÏ¢ ×÷ÕßµØÖ·: Zhang Guangyi; Xu Aigiang; Dept. of Sci. Res., Naval Aeronaut. & Astronaut. Univ., Yantai, China. Su Yangin; Ma Yingliang; Grad. Students' Brigade, Naval Aeronaut. & Astronaut. Univ., Yantai, China. ³ö°æÉÌ Magazine Agency of Computer Measurement & Control, China Àà±ð / ·ÖÀà Ñо¿·½Ïò:Engineering; Mathematics; Computer Science; Business & Economics (ÓÉ Thomson Reuters Ìṩ) ·ÖÀà´úÂë:B0170N Reliability; B0250 Combinatorial mathematics; B0160 Plant engineering, maintenance and safety; C1210B Reliability theory; C1160 Combinatorial mathematics; E1020 Maintenance and reliability; E0210E Combinatorial mathematics ÊÜ¿ØË÷Òý:decision tables; fault diagnosis; maintenance engineering; reliability theory; rough set theory ·ÇÊÜ¿ØË÷Òý:fusion algorithm; equipment fault prediction; rough sets theory; GM; grey prediction model; attribute reduction algorithm; fault diagnosis decision table reduction; optimal diagnosis rules; condition attributes; test value; aero radio equipment; equipment reliability; equipment maintainability ÎÄÏ×ÐÅÏ¢ ÎÄÏ×ÀàÐÍ:Journal Paper ÓïÖÖ:Chinese Èë²ØºÅ:INSPEC:13561432 ISSN:1671-4598 ²Î¿¼ÎÄÏ×Êý:8 ÆäËûÐÅÏ¢ ´¦ÀíÀàÐÍ:Theoretical or Mathematical |
3Â¥2015-05-15 08:00:50
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5Â¥2015-05-15 10:25:17













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