The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)最新文献

RESEARCH ON NUCLEAR SAFETY INTELLIGENT MANAGEMENT AND DECISION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE 基于人工智能的核安全智能管理与决策系统研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/ICP.2021.1321

G. Zhou, X. Wang

{"title":"RESEARCH ON NUCLEAR SAFETY INTELLIGENT MANAGEMENT AND DECISION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE","authors":"G. Zhou, X. Wang","doi":"10.1049/ICP.2021.1321","DOIUrl":"https://doi.org/10.1049/ICP.2021.1321","url":null,"abstract":"Nuclear safety management is the basic work of nuclear energy development and utilization, and is the guarantee of safe operation of nuclear power plant. Nuclear safety management is a kind of planning, supervision, management, decision-making and information processing activities related to organization, laws and standards, cultural thoughts and the whole life and many aspects of nuclear power plant. In order to improve the ability and efficiency of nuclear safety management and decision-making, artificial intelligence is introduced into nuclear safety management and decision-making. According to the development requirements of nuclear safety management in nuclear power plant, the application method of artificial intelligence in nuclear safety management and decision-making is explored. On this basis, combining artificial intelligence with information management and decision-making technology, an nuclear safety intelligent management and decision-making system(NSIMDS) is proposed, and the framework of nuclear safety intelligent management and decision-making system is designed. This study provides a new approach to solve the problem of nuclear safety management and decision-making, and provides a basis for the development of nuclear safety intelligent management and decision-making system.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OPTIMIZED MEASUREMENT METHOD OF SMALL GAUGE LENGTH USING STEGER ALGORITHM 用steger算法优化了小量规长度测量方法

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1301

Y. Liu, H. Gao, Y. Cheng, Z. Wang, S. Sun

引用次数: 0

RESEARCH ON FAULT DIAGNOSIS OF PLANETARY GEARBOX BASED ON MPGA-BP NEURAL NETWORK 基于mpga-bp神经网络的行星齿轮箱故障诊断研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1324

Y. Fu, Z. Luan, F. Zhou, S. Wang

{"title":"RESEARCH ON FAULT DIAGNOSIS OF PLANETARY GEARBOX BASED ON MPGA-BP NEURAL NETWORK","authors":"Y. Fu, Z. Luan, F. Zhou, S. Wang","doi":"10.1049/icp.2021.1324","DOIUrl":"https://doi.org/10.1049/icp.2021.1324","url":null,"abstract":"There are common faults in planetary gearbox that it is not suitable for shutdown detection at the initial stage or there are many kinds of faults which are not easy to classify accurately. Based on the above reasons, this paper proposes a method combining multi population genetic algorithm (MPGA) and BP neural network. Traditional BP neural network uses a variety of genetic algorithms to optimize the initial weights between layers and the initial threshold corresponding to the single layer network. The traditional method greatly increases the global optimization ability of BP neural network when gradient drops, so we avoid the problem that the local optimal of selecting initial weight and initial threshold. This paper uses the tradition BP neural network and optimized MPGA BP neural network to classify the common faults of planetary gearbox. Then we compare the results of traditional BP neural network and MPGA BP neural network in planetary gearbox fault classification. The results show that: MPGA BP neural network has higher prediction accuracy than traditional BP neural network, so this method can be used for fault classification of planetary gearboxes.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131217387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

RESEARCH ON ACCURATE TEMPERATURE CONTROL ALGORITHM OF AGAROSE GEL SOL APPARATUS FOR NUCLEIC ACID DETECTION 琼脂糖凝胶溶胶核酸检测仪精确温控算法研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1310

S. Zhang, X. Lang, A. Tuerhong

{"title":"RESEARCH ON ACCURATE TEMPERATURE CONTROL ALGORITHM OF AGAROSE GEL SOL APPARATUS FOR NUCLEIC ACID DETECTION","authors":"S. Zhang, X. Lang, A. Tuerhong","doi":"10.1049/icp.2021.1310","DOIUrl":"https://doi.org/10.1049/icp.2021.1310","url":null,"abstract":"Affected by COVID-19, the demand for nucleic acid detection at home and abroad is gradually increasing, and nucleic acid detection generally requires qualitative analysis of PCR amplification products. At present, the commonly used analysis method of amplification products is agarose gel electrophoresis. In this paper, the whole process of agarose gel production is analyzed, and a fuzzy-neural network PID joint control scheme is proposed for different concentrations of agarose solution reagents to realize different temperature control strategies for different stages of the same concentration solution reagents and different concentration solution reagents. For the glue-making process with the same concentration of reagent, fuzzy control is used to improve the heating power when the temperature difference is large. On the contrary, the BP neural network is used to train the best PID parameter for gelatinizing at the current concentration, so as to realize the temperature control of the whole process of agarose heating and gelatinizing at different concentrations. The sol instrument experimental platform built by this algorithm realizes the glue preparation experiment of different concentration solution and the remelting experiment of the same concentration solution, which achieves the temperature control precision of ±1 ℃ and achieves a better glue preparation effect.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RESEARCH ON HIGH TEMPERATURE DYNAMIC CALIBRATION TECHNOLOGY OF SHIP PRESSURE SENSOR 船舶压力传感器高温动态校准技术研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1340

X. Bai

引用次数: 0

RESEARCH ON REAL-TIME DETECTION METHOD OF FACE WEARING MASK WITH LARGE TRAFFIC BASED ON DEEP LEARNING 基于深度学习的大流量口罩人脸实时检测方法研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1338

Y. Meng, N. Liu, Z. Su, X. Wang, H. Wang

{"title":"RESEARCH ON REAL-TIME DETECTION METHOD OF FACE WEARING MASK WITH LARGE TRAFFIC BASED ON DEEP LEARNING","authors":"Y. Meng, N. Liu, Z. Su, X. Wang, H. Wang","doi":"10.1049/icp.2021.1338","DOIUrl":"https://doi.org/10.1049/icp.2021.1338","url":null,"abstract":"Aiming at the problem of low accuracy of traditional face detection methods for large-volume mask-wearing people during the prevention and control of the new crown pneumonia epidemic, this paper proposes a real-time detection method for large-volume mask-wearing faces based on deep learning. The method uses the overall design of the backbone network, the FPN feature fusion network, the detection network and the parameter optimization method of the algorithm, and completes the model training on the mask-wearing face training set. In the detection process, the NMS algorithm is used to post-process the prediction results to realize multi-scale perception of the input face and improve the detection accuracy of the face wearing a mask. Experimentally verified, the detection accuracy of this method on the mask-wearing face test set is 0.919, and the average of Easy-0.841, Medium-0.802 and Hard-0.600 is obtained on the three subsets of the WIDER FACE test set. Detection accuracy (mAP). Compared with traditional face detection methods, it has universal advantages, and the video inference speed of the method in this paper reaches 55fps, which can meet the task requirements of real-time face detection with large traffic. In addition, the project team has successfully deployed this method to a fully automatic infrared thermal imaging temperature measurement warning system and put it into use in many places in Beijing, which is of great significance to preventing the spread of the epidemic.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

RESEARCH ON THE HARDWARE-IN-THE-LOOP SIMULATION TECHNOLOGY OF THE HIGH SPINNING PROJECTILE'S ATTITUDE 高自旋弹丸姿态半实物仿真技术研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1311

T. Tian, N. Liu, Z. Su

{"title":"RESEARCH ON THE HARDWARE-IN-THE-LOOP SIMULATION TECHNOLOGY OF THE HIGH SPINNING PROJECTILE'S ATTITUDE","authors":"T. Tian, N. Liu, Z. Su","doi":"10.1049/icp.2021.1311","DOIUrl":"https://doi.org/10.1049/icp.2021.1311","url":null,"abstract":"The performance of attitude measurement system has a direct impact on the guidance and control accurate of high-spin projectile. Attitude hardware-in-the-loop simulation (HILS) experiment is an important means to verify, evaluate and optimize the performance of attitude measurement system of high spinning projectile. The traditional attitude HILS system transmits the command contained angular rate to the three-axis turntable through a simulation computer with low timing accuracy directly. There is a problem that the transmission rate of command does not match the sampling frequency of the inertial measurement component, and this mismatch will seriously affect the simulation effect of the attitude in a high-spin environment. In order to solve the problem, the instruction transmission method is improved. Firstly, a high-speed data transmission board based on the STM32 ARM core is designed to improve the transmission rate of command. Secondly, the finite impulse response filter (FIR) is used to suppress the noise of the data send from the turntable for improving the accuracy of data and reducing the simulation error of attitude. The results show that the attitude error is less than 0.1°. The HILS system is simple to implement, low cost, high simulation accuracy, and has practical application value.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126785532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RESEARCH ON SLAM TECHNOLOGY OF ROBOT BASED ON ROS 基于ros的机器人碰撞技术研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/ICP.2021.1318

Y. Chen, C. Li, Y. Zhou, F. Che, H. Li

引用次数: 1

RESEARCH ON FAULT DIAGNOSIS WITH SMALL SAMPLE FOR PLANETARY GEAR SYSTEM WITH SEMI-SUPERVISED LEARNING AND DBN ALGORITHM 基于半监督学习和DBN算法的行星齿轮系统小样本故障诊断研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/ICP.2021.1305

C. Ma, L. Song, S. Wang, Z. Yang

{"title":"RESEARCH ON FAULT DIAGNOSIS WITH SMALL SAMPLE FOR PLANETARY GEAR SYSTEM WITH SEMI-SUPERVISED LEARNING AND DBN ALGORITHM","authors":"C. Ma, L. Song, S. Wang, Z. Yang","doi":"10.1049/ICP.2021.1305","DOIUrl":"https://doi.org/10.1049/ICP.2021.1305","url":null,"abstract":"Objected to fault diagnosis of planetary gearbox, the research and implementation of classification model on small sample with semi-supervised learning and DPN in this paper is carried out. Firstly, the acceleration sample data for four status of the planetary gearbox are obtained, which are including the normal, internal ring gear fault, sun gear fault and Coupling fault between planetary gear and bearing. And the feature vector is built with characteristic parameters such as average amplitude, kurtosis, root mean square, root square amplitude, form factor, crest factor and margin factor. Then the data is delt with CEEMD method for noise reduction and continually the parameters are computed. Then the vector is as input of DBN and Semi-supervised Learning algorithm to fault diagnosis for planetary gear system. Also the comparison competition are done by using DBN and SVM. The results show that under the small sample data, the method of CEEMD - DBN could be more effective under small sample data. The research could provide an effective method for the diagnosis and classification of small sampling projects.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

APPLICATION RESEARCH ON EVALUATION OF AERO-ENGINE BLADE PROFILE PARAMETERS 航空发动机叶片型面参数评价的应用研究

The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020) Pub Date : 1900-01-01 DOI: 10.1049/icp.2021.1314

T. Pan, X. He, G. Wu, X. He, X. L. Xu

引用次数: 0