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检索条件"机构=Key Laboratory of Modern Measurement&Control Technology"

共 516 条记录，以下是41-50 订阅

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Coastal Regions Sea Surface Salinity Retrieval of SMAP MISSION Based on Light Gradient Boosting Model

Coastal Regions Sea Surface Salinity Retrieval of SMAP MISSI...

引用

2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Song, Haoming Zhang, Yifan Zhang, Biao Lv, Yanfang Zhang, Lanjie Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems China Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology China

ISBN: (纸本)9798350375909

Sea surface salinity (SSS) as an important indicator of ocean water circulation, affects global ecology and climate change. However, the accuracy of L-band satellite sea surface salinity retrieval products has been severely affected in coastal regions due to factors such as Radio Frequency Interference (RFI) and Land Sea Continuation (LSC). In this study, coastal regions observational data from the Soil Motion Active Passive (SMAP) satellite, and established the LGBM model for SSS retrieval. The results indicated that LGBM performed excellently in the retrieval of SSS in coastal regions. In comparison to in-situ SSS, the LGBM SSS demonstrated a mean bias (MB) of 0.11psu, a root mean squares error (RMSE) of 0.68psu. This paper also added the bias between LGBM SSS and in situ SSS for secondary correction of LGBM. This correction reduced the MB to 0.03psu, the RMSE to 0.54psu. This study affirms the feasibility of using LGBM for SSS retrieval in coastal regions. Future efforts will focus on integrating more auxiliary data that may influence SSS in coastal regions, aiming to further enhance the precision of the coastal regions' SSS retrieval product. © 2024 IEEE.

关键词： Radio interference

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RESEARCH ON THE FAULT CLASSIFICATION METHOD OF ROLLING BEARINGS BASED ON ENVELOPE ENTROPY SCREENING CRITERION AND VMD FUSION SVM 10

RESEARCH ON THE FAULT CLASSIFICATION METHOD OF ROLLING BEARI...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Jiang, Zhanglei Zheng, Wei Liu, Yaru Men, Dachao Liu, Xiuli Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing University of Information Science and Technology Beijing China Baotou Service Management Vocational School Baotou China

ISBN: (纸本)9781837242672

As a critical component in mechanical equipment, the fault diagnosis of rolling bearings is of great significance. Due to the presence of substantial noise in vibration signals, extracting fault features becomes particularly challenging. This paper proposes a method combining Variational Mode Decomposition (VMD) and Support Vector Machine (SVM) based on the envelope entropy selection criterion for rolling bearing fault diagnosis. First, the VMD method is used to decompose the vibration signal into several Intrinsic Mode Function (IMF) components, and the envelope spectrum of these components is obtained through envelope analysis. Then, the envelope entropy is adopted as the IMF component selection criterion to select the IMF components that best reflect the fault characteristics. The envelope energy of the selected IMF components is used as feature indicators and input into the SVM model to achieve fault type recognition. This method is applied to the fault diagnosis experiment of rolling bearing vibration signals, and the results show that the method can accurately extract fault features and effectively recognize fault types. The experimental results indicate that the fault recognition accuracy of this method reaches 99.5%. By comparing with other methods, the superiority and practical application value of this method in rolling bearing fault diagnosis are verified. © The Institution of Engineering & technology 2024.

关键词： Variational mode decomposition

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A SCIENTIFIC METHOD FOR COMPILING THE LOAD SPECTRUM OF TRANSMISSION SHAFT FOR HYBRID SPECIAL VEHICLE BASED ON PARAMETER EXTRAPOLATION 10

A SCIENTIFIC METHOD FOR COMPILING THE LOAD SPECTRUM OF TRANS...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Chen, Boyu Li, Le Wang, Qian Zheng, Cunjin Zhang, Ximing Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China China North Vehicle Research Institute Beijing China

ISBN: (纸本)9781837242672

To compile the load spectrum for the transmission shaft in hybrid special vehicles with high reliability, this paper employs the parameter extrapolation method for load spectrum compilation. By collecting experimental real vehicle torque load data and related driving records, the operation process of the special vehicle would be divided into 5 typical operating conditions. Throughout the pre-processed load data, the rainflow counting method is applied to develop statistically analysis and distribution-fitting. Based on the probability statistical distribution results, it could indicate that: the amplitude values for each operating condition follow a lognormal distribution;the means value for each operating condition follow a 3-parameter lognormal distribution, and they are mutually independent. Accordingly, the load extremes and frequencies are extrapolated for the target life cycle, and the rationality of the extrapolation is verified. Based on the extrapolation results, an 8-level two-dimensional load spectrum and a one-dimensional program spectrum are compiled. In general, the research results provide a foundation for the reliability testing of hybrid special vehicles. © The Institution of Engineering & technology 2024.

关键词： Extrapolation

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HEALTH EVALUATION OF TRANSMISSION MECHANISM IN POWERTRAIN BASED ON COMPOSITE WEIGHT CLOUD MODEL 10

HEALTH EVALUATION OF TRANSMISSION MECHANISM IN POWERTRAIN BA...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Wang, Liyong Huang, Xiaozan Wu, Jianpeng Yang, Jian Zhang, Jinle Li, Pengpeng Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China China North Vehicle Research Institute Beijing China

ISBN: (纸本)9781837242672

The performance degradation of the powertrain in service significantly affects the stability and reliability of tracked vehicles. To assess the powertrain health state of tracked vehicles, this study proposes a health state evaluation method for the transmission mechanism of the powertrain based on a composite weight cloud model. Firstly, the model establishes a health evaluation indexes system for the transmission mechanism, calculates the subjective index weights based on the AHP method and utilizes the EWM-CRITIC method to compute the objective index weights. However, the subjective and objective weights have some limitations. Therefore, the weights of subjective and objective indexes are fused through the game theory to obtain the composite weights of indexes. Secondly, this research categorizes the health status levels of the transmission mechanism to establish an evaluation standard cloud model and combines index weights and data to generate a comprehensive cloud model. Then, the cloud memberships are calculated for different mileage comprehensive clouds to quantitatively analyse the cloud model. Finally, the feasibility of the composite weight cloud model health evaluation method is verified by comparing it with other health evaluation methods, which provides a reference for the health state evaluation of the powertrain. © The Institution of Engineering & technology 2024.

关键词： CLOUD MODEL HEALTH EVALUATION SUBJECTIVE AND OBJECTIVE WEIGHTS TRANSMISSION MECHANISM

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THE TORQUE PREDICTION OF HEAVY-DUTY VEHICLE DRIVESHAFT BASED ON MSGWO-LSTM 10

THE TORQUE PREDICTION OF HEAVY-DUTY VEHICLE DRIVESHAFT BASED...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Wu, Jianpeng Zhao, Peng Song, Yaochen Wang, Liyong Zhang, Jinle Huang, Xiaozan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China China North Vehicle Research Institute Beijing China

ISBN: (纸本)9781837242672

The driveshaft is the core component in the driveline system of Heavy-Duty Vehicles (HDV). Its torque transfer performance is related to the operational capability. The torque prediction is of great significance for studying the dynamics of HDV. Therefore, this paper proposes a driveshaft torque prediction model using a Multi-Strategy Grey Wolf Optimizer (MSGWO) to optimize the Long Short-Term Memory (LSTM) network. First, a torque calculation method based on real vehicle sensing data is proposed to provide samples for neural network training. Second, the MSGWO is used to optimize the hyperparameters of LSTM to construct the prediction model based on MSGWO-LSTM. Finally, the model is validated using a dataset composed of real vehicle sensing data and calculated torque. Compared to GWO-LSTM, LSTM, and Backpropagation (BP) models, the MSGWO-LSTM model proposed in this paper reduces the RMSE of real-time shifting torque prediction values by 41.59%, 66.14%, and 86.78%, respectively. The RMSE of short mileage prediction value decreases by 43.63%, 62.22%, and 68.92%, respectively. The results show that the model has high prediction accuracy and can effectively predict the torque of the HDV driveshaft. © The Institution of Engineering & technology 2024.

关键词： Prediction models

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OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAYESIAN ALGORITHM WEIGHT OPTIMIZATION 10

OPTIMIZING MULTI-INPUT SCHEDULING FOR FUZZING TEST USING BAY...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Fang, Junzhe Wang, Liyong Ji, Haojie Guo, Teng Hu, Te Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Zaozhuang Network Security Guarantee Center Zaozhuang China

ISBN: (纸本)9781837242672

As a major software testing method, fuzzing has the potential to enhance testing coverage and detect a great number of software vulnerabilities in complex code programs. The current fuzzy testing for multiple input parameters lacks an effective calling mechanism and treats all variant parameter equally, resulting in low efficiency. This paper presents a fuzzy testing method based on Bayesian algorithm for scheduling parameters. Firstly, it combines the characteristics of input parameters to match the appropriate variation strategy. Secondly, it utlizes the Bayesian algorithm to automatically generate weight values for the objective function index during sufficient testing. It evaluates test cases with multi-parameter inputs according to these weights and selects parameters with high utilization value for multiple tests. Finally, in order to evaluate the effectiveness of the method of this paper, an application programming interface of Amercian fuzzy lop (AFL-API) is developed based on the typical fuzzy testing tool AFL++, and compared with AFL++ as a fuzzy testing tool. The experimental results demonstate that when using the AFL-API for program testing, there was 47% increase in coverage rate, 52% increase in the number of discovered crashes, and more program vulnerabilities were identified during actual testing. © The Institution of Engineering & technology 2024.

关键词： Software testing

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INVESTIGATION OF AUTONOMOUS GROUND CURRENT FIELD INJECTION SIGNAL CHARACTERISTICS 10

INVESTIGATION OF AUTONOMOUS GROUND CURRENT FIELD INJECTION S...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Wang, Yanke Su, Zhong Chu, Sirui Ling, Zhongao Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Autonomous injection of signals to generate ground current field technology is used to realize signal transmission by injecting signals into the ground to form a ground current field. In this paper, horizontal double electrodes are used to inject the signal into the ground, and the model of the ground equivalent electrical network is established according to the circuit characteristics, and the signal transmission characteristics are simulated and analyzed. In order to verify the penetration ability of different signals, square wave, sine wave and triangle wave are injected into the ground, and the signals are received at 13m and 18m and processed and analyzed. The results show that the square wave has the best penetration, followed by the sine wave and finally the triangle wave, which is consistent with the simulation results and verifies the accuracy of the model and the signal penetration ability in the medium. © The Institution of Engineering & technology 2024.

关键词： Equivalent circuits

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RSSI-BASED INJECTED GROUND CURRENT FIELD LOCALIZATION STUDY 10

RSSI-BASED INJECTED GROUND CURRENT FIELD LOCALIZATION STUDY

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Chu, Sirui Su, Zhong Wang, Yanke Ling, Zhongao Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Aiming at the problem that traditional positioning techniques are easily limited in complex environments, this study proposes a positioning method based on Received Signal Strength Indication (RSSI) of injected ground current field, which is suitable for closed or sheltered environments, such as underground alleyways, and also works effectively under extreme conditions, such as alleyways collapsing. Firstly, the validity of the ground current field signals is tested to ensure that the signals are reliable;secondly, the extracted signals are screened to remove signals with low signal-to-noise ratios and high ground resistance, and to reduce the influence of environmental noise on the localization results;next, the RF parameter A as well as the signal transmission constant n are computed using the linear regression least square method, which provide important fitting parameters for the subsequent establishment of the RSSI localization model;finally, a Gaussian filtering to process the RSSI data collected by modelling. The experimental results show that the method achieves the positioning of underground alleyways environment with good feasibility and effectiveness, and provides a feasible solution for carrying out efficient alleyway personnel positioning and rescue operations, which has important theoretical significance and practical value. © The Institution of Engineering & technology 2024.

关键词： Linear regression

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A STUDY OF THE CHARACTERISTICS OF THE INFLUENCE OF THE PRECESSION FACTOR OF AN ALL-METAL MICRO-HEMISPHERICAL RESONATOR 10

A STUDY OF THE CHARACTERISTICS OF THE INFLUENCE OF THE PRECE...

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Gu, Xibing Su, Zhong Yao, Xiangxian Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The precession factor of resonant gyro is the key performance index of gyro sensitive angular velocity, and the main factors affecting the precession factor are the structural parameters of the resonator. In this paper, an all-metal micro-hemispherical resonator with a radius of 3mm is taken as the research object, the expression of the precession factor of the hemispherical resonator is established, and the intrinsic frequencies under different modal orders are obtained through the finite element simulation experimental method, and the influences of the radius of the hemispherical shell, the thickness of the shell, the diameter of the central axis rod, and the radius of the inner fillet angle on the precession factor of the resonator are analyzed. The experimental results show that the size of the inner fillet radius has a significant effect on the precession factor, and the precession factor of the metallic micro-hemispherical resonator is mainly maintained at 0.2980 with a variation range of less than 1%. This study provides reference data for the optimization of the structural parameters of the all-metal micro-hemispherical resonator. © The Institution of Engineering & technology 2024.

关键词： Gyroscopes

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A STUDY OF CAPICITANCE CHARACTERS OF METAL MICRO-HEMISPHERICAL RESONANT GYRO DETECTION 10

A STUDY OF CAPICITANCE CHARACTERS OF METAL MICRO-HEMISPHERIC...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Yao, Xiangxian Su, Zhong Gu, Xibing Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Compared with the traditional quartz hemispherical resonant gyro, the metal micro hemispherical resonant gyro has a stronger high overload capacity and can adapt to more extreme environments, and its capacitance characteristics directly determine the performance of the metal micro hemispherical resonant gyro. In this paper, an oscillator with a diameter of 12 mm is selected, and the capacitance characteristics of the metal micro hemispherical resonant gyro are studied in detail from the two influencing factors of the number of oscillator teeth and capacitance spacing. The finite element simulation of the oscillator has been carried out using finite element software and the capacitive characteristics have been simulated and analyzed. The results show that when the number of teeth of the oscillator is 16 teeth and the capacitance spacing is 0.05 mm, the excited area is enhanced by 460% and the capacitance value increases to 10 pF. This study provides an important theoretical basis for the capacitance design of the resonant gyro with a metal micro hemisphere. © The Institution of Engineering & technology 2024.

关键词： Gyroscopes

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