| Petri网逆网在主轴故障诊断中的应用 |
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| 引用本文： | 谷东伟,张学文,王志琼,申桂香,张英芝.Petri网逆网在主轴故障诊断中的应用[J].保鲜与加工,2016,16(6):111-117. |
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| 作者姓名： | 谷东伟 张学文 王志琼 申桂香 张英芝 |
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| 作者单位： | 长春工业大学 机电工程学院, 长春 130012;吉林大学 机械科学与工程学院, 长春 130022,长春工业大学 机电工程学院, 长春 130012,吉林大学 机械科学与工程学院, 长春 130022,吉林大学 机械科学与工程学院, 长春 130022,吉林大学 机械科学与工程学院, 长春 130022 |
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| 基金项目： | 教育部“春晖计划”（Z2014140）；吉林省科技发展计划项目（20140520126JH）；吉林省教育厅十二五科学技术研究项目资助（2015-80）。 |
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| 摘 要： | 比较了成熟期27个梨品种的果胶含量、半乳糖醛酸含量、果肉硬度和可溶性固形物含量,并分析果胶含量与果实品质特性的相关性。结果表明,不同梨品种间的果肉硬度、可溶性固形物、果胶、半乳糖醛酸含量4个指标的差异性都达到极显著水平(P0.01),果肉硬度均值为2.76 kg·cm-2,F值为47.03;半乳糖醛酸含量为0.64%~1.73%,F值为89.24,品种间差异最大;可溶性固形物含量为9.41%~15.19%,F值为17.66,品种间差异最小;果胶含量为0.23%~1.02%,与可溶性固形物和半乳糖醛酸含量呈极显著正相关(P0.01),Pearson相关系数分别为0.618和0.680。
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| 关 键 词： | 主轴 故障诊断 Petri网逆网 |
| 收稿时间： | 2016/8/13 0:00:00 |
Inverse Petri net and its application to spindle fault diagnosis |
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| GU Dongwei,ZHANG Xuewen,WANG Zhiqiong,SHEN Guixiang and ZHANG Yingzhi.Inverse Petri net and its application to spindle fault diagnosis[J].Storage & Process,2016,16(6):111-117. |
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| Authors: | GU Dongwei ZHANG Xuewen WANG Zhiqiong SHEN Guixiang and ZHANG Yingzhi |
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| Institution: | School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, P. R. China;College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China,School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, P. R. China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China and College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China |
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| Abstract: | In order to quickly find the cause of the spindle failure, inverse Petri net was adopted to diagnose the fault of CNC(computerized numerical control) machine tool spindle. An inverse Petri net model of related failure for CNC machine tool spindle was established to obtain the inverse Petri net reachability graph of the spindle. And the failure of subsystems, failure modes and failure causes can be thorough analyzed. In addition, the relevance of fault modes and fault causes can be analyzed by the reachability graph. By analyzing state transferring reachable set, we can grasp the transmission process of spindle related failure and get the root cause of failure. By taking the loud noise of spindle as an example, its fault diagnosis process with inverse Petri net was described. Studying inverse Petri net of spindle related failure can help to diagnosis and repair the spindle quickly, shorten the repair time and improve the availability of the spindle. |
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| Keywords: | spindle fault diagnosis inverse Petri net |
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