本文调研了国内外通过工程技术评审委员会ABET(Accreditation Board for Engineering and Technology)认证的部分高校电气工程专业的培养情况。首先,本文综述了国内近年来电气专业ABET高校认证情况。对国内电气专业通过ABET认证的部分...本文调研了国内外通过工程技术评审委员会ABET(Accreditation Board for Engineering and Technology)认证的部分高校电气工程专业的培养情况。首先,本文综述了国内近年来电气专业ABET高校认证情况。对国内电气专业通过ABET认证的部分高校从培养目标、核心课程,学分体系等三方面进行对比分析,寻找国内高校电气专业建设方面的异同。然后,通过国外8所电气专业通过ABET认证的高校的专业建设情况调研分析,探讨了国内高校与国外高校在电气专业建设上的异同。最后得出结论:国内高校在专业建设上各有特色,国外高校相比国内高校更加重视学科交叉融合以及通识教育,这点值得国内高校借鉴学习。展开更多
Identification of steady state and transient state plays an important role in modeling,control,optimiza-tion,and fault detection of industrial processes.Many existing methods for state identification are not satisfact...Identification of steady state and transient state plays an important role in modeling,control,optimiza-tion,and fault detection of industrial processes.Many existing methods for state identification are not satisfactory in practical applications due to problems of ideal hypothesis,too many parameters,and poor robustness.In this paper,a novel state identification approach is proposed.The problem of state identification is transformed into finding the noise band of differential signal.For practical application,automatic selection of noise band amplitude is proposed to make the method convenient to be used.Problems of gross errors,low signal-to-noise ratio and online identification are considered.And comparison with other two methods shows that the proposed method has better identification performance.Simulations and experiments also prove the effectiveness and practicability of the proposed method.展开更多
文摘本文调研了国内外通过工程技术评审委员会ABET(Accreditation Board for Engineering and Technology)认证的部分高校电气工程专业的培养情况。首先,本文综述了国内近年来电气专业ABET高校认证情况。对国内电气专业通过ABET认证的部分高校从培养目标、核心课程,学分体系等三方面进行对比分析,寻找国内高校电气专业建设方面的异同。然后,通过国外8所电气专业通过ABET认证的高校的专业建设情况调研分析,探讨了国内高校与国外高校在电气专业建设上的异同。最后得出结论:国内高校在专业建设上各有特色,国外高校相比国内高校更加重视学科交叉融合以及通识教育,这点值得国内高校借鉴学习。
文摘Identification of steady state and transient state plays an important role in modeling,control,optimiza-tion,and fault detection of industrial processes.Many existing methods for state identification are not satisfactory in practical applications due to problems of ideal hypothesis,too many parameters,and poor robustness.In this paper,a novel state identification approach is proposed.The problem of state identification is transformed into finding the noise band of differential signal.For practical application,automatic selection of noise band amplitude is proposed to make the method convenient to be used.Problems of gross errors,low signal-to-noise ratio and online identification are considered.And comparison with other two methods shows that the proposed method has better identification performance.Simulations and experiments also prove the effectiveness and practicability of the proposed method.
