Measured surface localization （MSL） is one of the key essentials for the assessment of form error in pre- cision manufacturing. Currently, the researches on MSL have focused on the corresponding relation search betw...Measured surface localization （MSL） is one of the key essentials for the assessment of form error in pre- cision manufacturing. Currently, the researches on MSL have focused on the corresponding relation search between two surfaces, the performance improvement of localization algorithms and the uncertainty analysis of localization. However, low efficiency, limitation of localization algo- rithms and mismatch of multiple similarities of feature points with no prior are the common disadvantages for MSL. In order to match feature points quickly and fulfill MSL efficiently, this paper presents a new localization approach for measured surfaces by extracting the generic umbilics and estimating their single complex variables, describing the match methods of ambiguous relation at umbilics, presenting the initial localization process of one pair matched points, refining MSL on the basis of obtained closet points for some measured points by the improvement directed projection method. In addition, the proposed algorithm is simulated in two different types of surfaces,two different localization types and multiple similar sur- faces, also tested with the part of B-spline surface machined and bottle mould with no knowledge, finally the initial and accurate rigid body transformation matrix, localization errors between two surfaces and execution time are got. The experimental results show that the pro- posed method is feasible, more accurate in localization and high in efficiency. The proposed research can not only improve the accuracy and performance of form error assessment, but also provide an effective guideline for the integration of different types of measured surfaces.展开更多
Recently,an approach for the rapid detection of small oscillation faults based on deterministic learning theory was proposed for continuous-time systems.In this paper,a fault detection scheme is proposed for a class o...Recently,an approach for the rapid detection of small oscillation faults based on deterministic learning theory was proposed for continuous-time systems.In this paper,a fault detection scheme is proposed for a class of nonlinear discrete-time systems via deterministic learning.By using a discrete-time extension of deterministic learning algorithm,the general fault functions(i.e.,the internal dynamics)underlying normal and fault modes of nonlinear discrete-time systems are locally-accurately approximated by discrete-time dynamical radial basis function(RBF)networks.Then,a bank of estimators with the obtained knowledge of system dynamics embedded is constructed,and a set of residuals are obtained and used to measure the differences between the dynamics of the monitored system and the dynamics of the trained systems.A fault detection decision scheme is presented according to the smallest residual principle,i.e.,the occurrence of a fault can be detected in a discrete-time setting by comparing the magnitude of residuals.The fault detectability analysis is carried out and the upper bound of detection time is derived.A simulation example is given to illustrate the effectiveness of the proposed scheme.展开更多
The combination of flexible sensors and bionic innovative design has become an important direction for the development of intelligent sensing technology.To this end,this paper systematically describes the latest resea...The combination of flexible sensors and bionic innovative design has become an important direction for the development of intelligent sensing technology.To this end,this paper systematically describes the latest research progress of bionic sensors inspired by the synergistic mechanism of“stress concentration-high pass filtering-omnidirectional localization”of scorpion slit receptors.First,it presents breakthroughs such as ultra-high sensitivity through gradient-cracked structures,dynamic signal decoupling mediated by viscoelastic materials,and omnidirectional localization accuracy supported by curvilinear array layouts.Aiming at the cross-interference and integration redundancy problems faced by traditional multimodal sensing systems,this paper introduces a vertically stacked heterogeneous integration strategy.Through the synergistic design of bionic stretchable conductive film and strain-isolated communication interfaces,a flexible multimodal sensing system with pressure-temperature bimodal sensing,multiaxial stress decoupling,and spatial distribution tracking capability is successfully constructed.Relevant research further confirms that the bionic architecture shows significant advantages in medical monitoring,industrial equipment health management and lunar rover terrain sensing scenarios.It provides a new paradigm of cross-scale structure-function synergistic optimization for the development of adaptive intelligent sensing systems in extreme environments,and marks an important leap in the integration of bionic flexible electronics from single-device innovation to systematic technology.展开更多
基金Supported by Science and Technology Supporting Projects of China(Grant No.2015BAF27B01)Sichuan Provincial Science and Technology Supporting Program of China(Grant Nos.2014GZ0119,2017GZ0350)Open Research Fund of Key Laboratory of Manufacturing and Automation,Xihua University(Grant No.S2jj2013-042)
文摘Measured surface localization （MSL） is one of the key essentials for the assessment of form error in pre- cision manufacturing. Currently, the researches on MSL have focused on the corresponding relation search between two surfaces, the performance improvement of localization algorithms and the uncertainty analysis of localization. However, low efficiency, limitation of localization algo- rithms and mismatch of multiple similarities of feature points with no prior are the common disadvantages for MSL. In order to match feature points quickly and fulfill MSL efficiently, this paper presents a new localization approach for measured surfaces by extracting the generic umbilics and estimating their single complex variables, describing the match methods of ambiguous relation at umbilics, presenting the initial localization process of one pair matched points, refining MSL on the basis of obtained closet points for some measured points by the improvement directed projection method. In addition, the proposed algorithm is simulated in two different types of surfaces,two different localization types and multiple similar sur- faces, also tested with the part of B-spline surface machined and bottle mould with no knowledge, finally the initial and accurate rigid body transformation matrix, localization errors between two surfaces and execution time are got. The experimental results show that the pro- posed method is feasible, more accurate in localization and high in efficiency. The proposed research can not only improve the accuracy and performance of form error assessment, but also provide an effective guideline for the integration of different types of measured surfaces.
基金This work was supported by the National Science Fund for Distinguished Young Scholars(No.61225014)the National Major Scientific Instruments Development Project(No.61527811)+2 种基金the National Natural Science Foundation of China(Nos.61304084,61374119)the Guangdong Natural Science Foundation(No.2014A030312005)the Space Intelligent Control Key Laboratory of Science and Technology for National Defense.
文摘Recently,an approach for the rapid detection of small oscillation faults based on deterministic learning theory was proposed for continuous-time systems.In this paper,a fault detection scheme is proposed for a class of nonlinear discrete-time systems via deterministic learning.By using a discrete-time extension of deterministic learning algorithm,the general fault functions(i.e.,the internal dynamics)underlying normal and fault modes of nonlinear discrete-time systems are locally-accurately approximated by discrete-time dynamical radial basis function(RBF)networks.Then,a bank of estimators with the obtained knowledge of system dynamics embedded is constructed,and a set of residuals are obtained and used to measure the differences between the dynamics of the monitored system and the dynamics of the trained systems.A fault detection decision scheme is presented according to the smallest residual principle,i.e.,the occurrence of a fault can be detected in a discrete-time setting by comparing the magnitude of residuals.The fault detectability analysis is carried out and the upper bound of detection time is derived.A simulation example is given to illustrate the effectiveness of the proposed scheme.
基金funded by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(No.52021003)“Fundamental Research Funds for the Central Universities”.
文摘The combination of flexible sensors and bionic innovative design has become an important direction for the development of intelligent sensing technology.To this end,this paper systematically describes the latest research progress of bionic sensors inspired by the synergistic mechanism of“stress concentration-high pass filtering-omnidirectional localization”of scorpion slit receptors.First,it presents breakthroughs such as ultra-high sensitivity through gradient-cracked structures,dynamic signal decoupling mediated by viscoelastic materials,and omnidirectional localization accuracy supported by curvilinear array layouts.Aiming at the cross-interference and integration redundancy problems faced by traditional multimodal sensing systems,this paper introduces a vertically stacked heterogeneous integration strategy.Through the synergistic design of bionic stretchable conductive film and strain-isolated communication interfaces,a flexible multimodal sensing system with pressure-temperature bimodal sensing,multiaxial stress decoupling,and spatial distribution tracking capability is successfully constructed.Relevant research further confirms that the bionic architecture shows significant advantages in medical monitoring,industrial equipment health management and lunar rover terrain sensing scenarios.It provides a new paradigm of cross-scale structure-function synergistic optimization for the development of adaptive intelligent sensing systems in extreme environments,and marks an important leap in the integration of bionic flexible electronics from single-device innovation to systematic technology.
