故障预测技术发展与分类 |
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引用本文: | 马硕,焦现炜,田柯文,吕世乐,赵阳,郑善军.故障预测技术发展与分类[J].四川兵工学报,2013,34(2):92-95,116. |
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作者姓名: | 马硕 焦现炜 田柯文 吕世乐 赵阳 郑善军 |
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作者单位: | 1. 72465部队,济南,250022 2. 72428部队,山东文登,264419 |
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摘 要: | 结合大型复杂武器系统装备特点、装备保障现状,探讨了故障预测技术发展对部队战斗力生成的必要性,研究了故障预测技术在国内外研究发展情况和趋势,详述和对比了故障预测技术的分类方法,总结了不同预测方法的优缺点,并对故障预测技术的发展趋势进行了初步探索和展望。
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关 键 词: | 故障预测 视情维修 PHM 灰色预测 数据驱动 回归预测 |
The Development and Classification of Failure Prediction Technology |
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Authors: | MA Shuo JIAO Xian-wei TIAN Ke-wen LV Shi-le ZHAO Yang ZHENG Shan-jun |
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Affiliation: | 1. The PLA 72465, Jinan 250022, China; 2. The PLA 72428, Wengdeng 264419, China) |
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Abstract: | Combined with the characteristics and status quo of large complex weapon systems, this paper discusses the necessity of developing fault forecasting technology for forming troop strength, and studies at the development situation and trends in domestic and overseas study. After detailing the methods of classif- ying fault forecast technologies, the article summarizes the advantages and disadvantages of different fore- casting methods, and then makes a preliminary exploration and forecasts the trend of fault forecasting tech- nology. |
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Keywords: | failure prediction condition-based maintenance PHM grey prediction data driven regres- sion forecasting |
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