A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation（3DSKE）is proposed.The aim of designing the 3DSKE algorithm is to reduce errors caused by ran...A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation（3DSKE）is proposed.The aim of designing the 3DSKE algorithm is to reduce errors caused by random noise,but leave the systematical errors caused by signal source remained to be solved by a special method.The 3DSKE algorithm is especially suitable for time series of pure measured data without dynamic equation and on-line real-time execution.The simulated result shows that the 3DSKE algorithm can help the basic theoretic calculation to realize feasible,stable,fast,high accurate and auto-executing computing process for the navigation applications.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
Fault detection and classification is a key challenge for the protection of High Voltage DC(HVDC)transmission lines.In this paper,the Teager-Kaiser Energy Operator(TKEO)algorithm associated with a decision tree-based ...Fault detection and classification is a key challenge for the protection of High Voltage DC(HVDC)transmission lines.In this paper,the Teager-Kaiser Energy Operator(TKEO)algorithm associated with a decision tree-based fault classi-fier is proposed to detect and classify various DC faults.The Change Identification Filter is applied to the average and differential current components,to detect the first instant of fault occurrence(above threshold)and register a Change Identified Point(CIP).Further,if a CIP is registered for a positive or negative line,only three samples of currents(i.e.,CIP and each side of CIP)are sent to the proposed TKEO algorithm,which produces their respective 8 indices through which the,fault can be detected along with its classification.The new approach enables quicker detection allowing utility grids to be restored as soon as possible.This novel approach also reduces computing complexity and the time required to identify faults with classification.The importance and accuracy of the proposed scheme are also thor-oughly tested and compared with other methods for various faults on HVDC transmission lines.展开更多
基金Supported by the National Natural Science Foundation of China(61174220)the Project of Beijing Municipal Education Commission(KM201210028002)Weapon Equipment Development Project(9140A09050313BQ01127)
文摘A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation（3DSKE）is proposed.The aim of designing the 3DSKE algorithm is to reduce errors caused by random noise,but leave the systematical errors caused by signal source remained to be solved by a special method.The 3DSKE algorithm is especially suitable for time series of pure measured data without dynamic equation and on-line real-time execution.The simulated result shows that the 3DSKE algorithm can help the basic theoretic calculation to realize feasible,stable,fast,high accurate and auto-executing computing process for the navigation applications.
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.
文摘Fault detection and classification is a key challenge for the protection of High Voltage DC(HVDC)transmission lines.In this paper,the Teager-Kaiser Energy Operator(TKEO)algorithm associated with a decision tree-based fault classi-fier is proposed to detect and classify various DC faults.The Change Identification Filter is applied to the average and differential current components,to detect the first instant of fault occurrence(above threshold)and register a Change Identified Point(CIP).Further,if a CIP is registered for a positive or negative line,only three samples of currents(i.e.,CIP and each side of CIP)are sent to the proposed TKEO algorithm,which produces their respective 8 indices through which the,fault can be detected along with its classification.The new approach enables quicker detection allowing utility grids to be restored as soon as possible.This novel approach also reduces computing complexity and the time required to identify faults with classification.The importance and accuracy of the proposed scheme are also thor-oughly tested and compared with other methods for various faults on HVDC transmission lines.
