| 基于MWGANN模型的旋转机械趋势预测 |
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| 引用本文： | 徐小力,蒋章雷,CHEN Peng.基于MWGANN模型的旋转机械趋势预测[J].北京机械工业学院学报,2012(1):1-4. |
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| 作者姓名： | 徐小力 蒋章雷 CHEN Peng |
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| 作者单位： | [1]北京信息科技大学现代测控教育部重点实验室,北京100192 [2]北京理工大学机械与车辆工程学院,北京100081 [3]三重大学生物资源学部,日本三重县津市514-8507 |
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| 基金项目： | 国家自然科学基金项目（50975020）;北京市人才强教深化计划项目（PHR20090518）;北京市引进国外技术重点项目（B201101010） |
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| 摘 要： | 为保证旋转机械注水泵机组安全、稳定运行,应采用合适的预测模型对其状态评定参数进行预测。提出基于均值函数新息加权的遗传算法优化神经网络预测模型(MWGANN模型),用此模型能够优化神经网络结构参数,并可利用时间序列数据新旧程度的不同提高预测的精度和实时性。工业现场采集大型旋转注水泵机组振动烈度时间序列数据,应用MWGANN模型和基于人工经验设定神经网络结构参数的模型分别对其进行预测并比较,结果表明MWGANN模型在预测精度、预测实时性方面取得了较好的效果。
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| 关 键 词： | 趋势预测 均值函数 新息加权 神经网络 |
Rotating machinery trend prediction based on MWGANN prediction model |
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| Affiliation: | XU Xiao-li,JIANG Zhang-leiz, CHEN Peng( Key Laboratory of Modern Measurement ＆ Control Technology, Ministry of Education, Beijing Information Science and Technology University Beijing 100192, China; School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing 100081, China; Department of Environmental Science and Eng/neering, Faculty of Bioresources Mie University, Tsu-shi, Mie-ken 514-8507, Japan) |
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| Abstract: | To ensure safe and stable operation of the rotary mechanical injection pump unit, status assessment parameters should be predicted by using appropriate prediction model. A genetic algorithm optimization neural network prediction model is presented based on mean function new information-weighted theory （MWGANN prediction model ）. MWGANN prediction model can optimize the neural network structure parameters, at the same time improve the prediction accuracy and real-time by using the recency difference of time series data. Large rotating injection pump unit vibration intensity time series are collected in the industrial site. MWGANN model and artificial experience parameters neural network model are applied to predict trends and compare the results. The results show that MWGANN model achieved good results in prediction accuracy and real-time prediction. |
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| Keywords: | prediction model mean function new information-weighted neural network |
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