National Natural Science Foundation of China(No.60504033)
Faults in rotating machine are difficult to detect and identify,especially when the system is complex and nonlinear.In order to solve this problem,a novel performance monitoring and fault diagnosis method based on ker...
National Natural Science Foundation of China (No.60504033)
Due to the difficulty of controlling the process with inverse response and dead time,a Multi-objective Optimization based on Genetic Algorithm (MOGA) method for tuning of proportional-integral-derivative (PID) control...
Supported by the National Natural Science Foundation of China (60504033);the Open Project of State Key Laboratory of Industrial Control Technology in Zhejiang University (0708004)
A novel systematic quality monitoring and prediction method based on Fisher discriminant analysis (FDA) and kernel regression is proposed. The FDA method is first used for quality monitoring. If the process is un-der ...
Sponsored by the National Natural Science Foundation of China (Grant No. 60504033)
To get the satisfying performance of a PID controller, this paper presents a novel Pareto-based multi-objective genetic algorithm (MOGA), which can be used to find the appropriate setting of the PID controller by anal...
针对化工过程数据中包含噪声和强非线性的特点,提出了基于小波去噪核主元分析(De-noised Kernel Principal Component Analysis,DKPCA)和邻近支持向量机(Proximal Support Vector Machine,PSVM)的性能监控和故障诊断新方法.将样本数据...