搜索资源列表
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- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，效果很好，对象为cstr，效果明显-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, the effect is very good, object for CSTR, the effect is obvious
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- 基于dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Dpca based on the program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
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- 基于pca和dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
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- 基于pca和dpca以及流形法的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedu
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- 基于pca和dpca以及流形法和动态流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method and dynamic manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good e
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- 基于pca和kpca以及流形法和核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method and procedure of the nuclear manifold hair, applied to fault detection and fault diagnosis, and fault recognition, identification of the go
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- 基于kpca以及核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is
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- 基于kpca以及dpca,核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and dpca, nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, pr
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- 本程序用pca，kpca,svm,pls,fisher，神经网络实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十七-The program use pca, kpca, SVM, PLS, fisher, neural networks realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault re
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- 本程序用pca，kpca,svm,pls,fisher，神经网络实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十六-The program use pca, kpca, SVM, PLS, fisher, neural networks realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault re
Exercise(3-1b)
- Non-isothermal Unsteady CSTR Reactor