| 基于AHP和BP神经网络的锭子性能综合评价 |
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| 引用本文： | 杨建国,王敏鹏,李蓓智,吕志军. 基于AHP和BP神经网络的锭子性能综合评价[J]. 机械设计与制造, 2012, 0(6): 272-274 |
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| 作者姓名： | 杨建国 王敏鹏 李蓓智 吕志军 |
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| 作者单位： | 1. 东华大学机械工程学院,上海201620;东华大学教育部纺织装备工程技术研究中心,上海201620
2. 东华大学机械工程学院,上海201620;东华大学纺织面料技术教育部重点实验室,上海201620 |
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| 基金项目： | 上海市重点学科项目建设资助，教育部纺织装备工程技术研究中心基金 |
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| 摘 要： | 目前我国部颁纺纱锭子测试标准,只有单一速度,单一振幅,单一功耗三个指标。为了科学反映锭子的工作性能与状况,研制了纺纱锭子性能综合测试平台,对锭子性能进行综合评价。确定纺纱锭子性能常用要素:振幅、温度、噪音、功耗作为评价指标,提出一种基于AHP和BP神经网络的锭子性能综合评价方法。运用层次分析法(Analytic Hierarchy Process,AHP)确定各项指标的权重,建立锭子性能综合评价的BP神经网络(Back Propagation Neural Network)模型,进行训练和测试。分析结果表明了基于AHP和BP神经网络的锭子性能综合评价的有效性与正确性。
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| 关 键 词： | 锭子性能综合评价 AHP BP神经网络 |
Comprehensive Evaluation of Spindle Performance Based on AHP and BP Neural Network |
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| YANG Jian-guo , WANG Min-peng , LI Bei-zhi , LV Zhi-jun. Comprehensive Evaluation of Spindle Performance Based on AHP and BP Neural Network[J]. Machinery Design & Manufacture, 2012, 0(6): 272-274 |
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| Authors: | YANG Jian-guo WANG Min-peng LI Bei-zhi LV Zhi-jun |
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| Affiliation: | 1,2(1 Mechanical Engineering College Donghua University,Shanghai 201620,China)(2 Key Laboratory of Textile Science & Technology of Ministry of Education,Donghua University,Shanghai 201620,China)(3 The Minstry of Education Textile Equipment Engineering Technology Research Center,Donghua University,Shanghai 201620,China) |
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| Abstract: | Nowadays the national testing standards for spinning spindle issued by the departmental only covers 3 indexes,they are single speed,amplitude and consumption.To reflect scientifically performance and condition of the spindle in service,a testing platform for comprehensive performance test of spinning spindles was developed,and the performance of spindles was evaluated synthetically.First,common factors of spinning spindle performance(amplitude,temperature,noise,consumption of spindle)were determined as evaluation indexes,and a method based on AHP and BP neural network was come up with.And then,weights of indexes were determined by applying the analytic hierarchy process(AHP).BP neural network model on comprehensive evaluation of spindle performance was built,based on which training and testing were carried out.Analysis results demonstrate that comprehensive evaluation of spindle performance based on the AHP and the BP neural network is available and valid. |
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| Keywords: | Comprehensive Evaluation of Spindle Performance AHP BP Neural Network |
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