| IPCA在故障检测与分离中的应用 |
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| 引用本文： | 成成,黄道. IPCA在故障检测与分离中的应用[J]. 华东理工大学学报(自然科学版), 2000, 26(5): 502-506 |
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| 作者姓名： | 成成 黄道 |
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| 作者单位： | 华东理工大学自动化工程中心,上海,200237 |
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| 基金项目： | ‘863’项目! ( 863- 511- 854- 0 0 7)，上海市重点学科基金!( B980 4 0 3)资助课题 |
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| 摘 要： | 基于ＰＣＡ模型，综合利用Ｔ＾２检验值，Ｑ检验值和故障补偿等集成化主元分析（ＩＰＣＡ）方法对系统的工况故障和仪表故障进行检测和分离，并对仪表故障进行补偿，该方法既能进行故障检测，又能对不同的故障进行分离。仿真实例表明，这种方法是有效的。
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| 关 键 词： | 主元分析 故障检测 故障分离 工况故障 IPCA |
| 修稿时间： | 2000-04-26 |
Fault Detection and Diagnosis by Integrated Principal Component Analysis |
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| CHENG Cheng,HUANG Dao. Fault Detection and Diagnosis by Integrated Principal Component Analysis[J]. Journal of East China University of Science and Technology, 2000, 26(5): 502-506 |
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| Authors: | CHENG Cheng HUANG Dao |
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| Abstract: | A new method, integrated principle component analysis (IPCA), of detecting faults of sensors and proecss, seperating them from each other and compensating for sensor faults is presented in this paper. It is based on the PCA model and employes such techniques of IPCA as T 2 check value, Q check value and fault compensation. Simulation results show that it is fairly effective. |
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| Keywords: | principal component analysis fault detection fault diagnosis fault compensation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
