2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)最新文献

Reliability Modeling and Analysis of Satellite-based Phased Array Antenna 星载相控阵天线可靠性建模与分析

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944588

Ziwen Zhao, Wenbin Chen, Xiao-Yang Li

{"title":"Reliability Modeling and Analysis of Satellite-based Phased Array Antenna","authors":"Ziwen Zhao, Wenbin Chen, Xiao-Yang Li","doi":"10.1109/ICRMS55680.2022.9944588","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944588","url":null,"abstract":"The degradation of satellite-based phased array antenna would affect the performance of the antenna, which in turn can prevent the signal from being transmitted properly. Therefore, satellite-based phased array antennas always require extremely high reliability. During the manufacturing and use stages, uncertainties are everywhere and performance degradation is inevitable. Both can threaten the reliability of satellite-based phased array antennas. However, existing studies mostly use voting models, which hardly reflect both points. In this paper, based on the principles of reliability science, a reliability model based on the performance margin is developed for satellite-based phased array antennas, considering the performance degradation and multiple sources of uncertainties. Firstly, the performance margin model for the degradation of the satellite-based phased array antenna is constructed based on its functional principle and the degradation processes of its critical components including phase shifters and power amplifiers. Then, uncertainties from different sources, including manufacturing tolerances and environmental temperature, are analyzed and each uncertainty is quantified by a probability distribution. Finally, a reliability model is developed. A numerical study of a satellite-based phased-array antenna is carried out. The results show the degradation processes of key performance parameters and reliability of the satellite-based phased array antenna during operation.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123296538","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

Dynamics Modeling and Simulation of Multi-rotor UAV based on the Composite Wind Field Model 基于复合风场模型的多旋翼无人机动力学建模与仿真

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944559

Jingru Wang, Jianfeng Yang, Zhongqing Yang

{"title":"Dynamics Modeling and Simulation of Multi-rotor UAV based on the Composite Wind Field Model","authors":"Jingru Wang, Jianfeng Yang, Zhongqing Yang","doi":"10.1109/ICRMS55680.2022.9944559","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944559","url":null,"abstract":"To study the influence of compound wind field disturbance on the stability of multi-rotor UAV(unmanned aerial vehicle), a dynamics modeling and simulation method for multi-rotor UAV under the compound wind field model is proposed. Firstly, based on the idea of equivalent modeling in practical engineering, the models of uniform wind, gust, turbulence and wind shear are constructed respectively. The numerical analysis and simulation research are then carried out. Second, the dynamic model of multi rotor UAV under the action of composite wind field is deduced, and the attitude control model is derived. Finally, the numerical analysis software is utilized to simulate and analyze the attitude response of the multi-rotor UAV under the condition of wind and no wind, and analyze its control performance under the interference of compound wind field. The simulation results show that the dynamic model of the multi-rotor UAV under the influence of the wind field can accurately reflect its dynamic performance under the action of the wind field, and the output attitude angle fluctuation is less than 2°. The obtained results show that the established wind field model can be effectively applied to the research on the flight performance of multi-rotor UAV under the interference of compound wind field.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122407410","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: 1

Data Augmentation to Improve the Performance of Ensemble Learning for System Failure Prediction with Limited Observations 有限观测值下改进集成学习系统故障预测性能的数据增强

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944577

Guo Shi, B. Liu, Lesley Walls

{"title":"Data Augmentation to Improve the Performance of Ensemble Learning for System Failure Prediction with Limited Observations","authors":"Guo Shi, B. Liu, Lesley Walls","doi":"10.1109/ICRMS55680.2022.9944577","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944577","url":null,"abstract":"Ensemble learning has been widely used to improve the performance and robustness of machine learning algorithms on time series data. However, in real operational processes where the observed data is limited, it hinders the capability of ensemble learning algorithms. To address the challenge of limited observed data, this paper proposes a novel three-layer ensemble learning framework by use of data augmentation. Firstly, multiple classical time series augmentation methods are applied to increase the size of the data set. Subsequently, after pre-processing, these augmented data is trained by multiple basic learners with K-fold cross-validation as the first layer of the developed ensemble learning framework. The outputs of the first layer are integrated via LASSO to further improve the prediction performance, which serves as the second layer of the developed framework. Finally, the third-layer output is generated by averaging the prediction of the second layer and the output from an improved Long-Short Term Memory model that provides prediction based on the augmented data. A case study on a real wastewater treatment plant is used to illustrate the effectiveness of the proposed method.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129877762","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

A Selection Method of Effective Metamorphic Relations 有效变质关系的一种选择方法

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/icrms55680.2022.9944550

Jie Zhang, Jie Hong, Dafei Huang, Meng Li, Shiyu Yan, Helin Gong

引用次数: 0

Study on Standby Hydraulic of Single-heat-source Single-looped District Heating Network 单热源单回路区域供热管网备用水力研究

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944573

Dingyi Mao, Zhizhao He, Peng Wang, Long Ni

{"title":"Study on Standby Hydraulic of Single-heat-source Single-looped District Heating Network","authors":"Dingyi Mao, Zhizhao He, Peng Wang, Long Ni","doi":"10.1109/ICRMS55680.2022.9944573","DOIUrl":"https://doi.org/10.1109/ICRMS55680.2022.9944573","url":null,"abstract":"Since the concept of reliability was put forward, how to improve the reliability of district heating system to effectively save energy and ensure economic benefits has become a research hotspot. By analyzing the hydraulic performance of district heating network and the possible flow in each pipe under normal and failure scenarios, we proposed the standby hydraulic design framework. Then, the topology and standby hydraulic design mathematical models of typical single-heat-source single-looped district heating network were established. The variation of hydraulic performance was studied by changing the determination method of design flow, the number, and distribution of users on the mainline. Finally, several design rules which can effectively alleviate the hydraulic imbalance under failure scenarios were proposed. The results show that using the method of weighted summation of the possible flow and its probability in each pipe under various operation scenarios to design pipe diameter has the advantages of high hydraulic performance without greatly increasing investment.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129194168","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

Reliability Modeling of Bi-directional Circular Multi-State Sliding Window System for Sequential Tasks 面向顺序任务的双向圆形多状态滑动窗口系统可靠性建模

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944562

Wei Wang, Siyuan Zhang, Peng Si, Mingqiang Lin, Bin Ma, Jianfeng Luo

引用次数: 1

A Specification for Phased-mission System with Redundancy Based on SysML 一种基于SysML的冗余分阶段任务系统规范

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944590

Zheng Yao, Xin-yang Wu, Xiaoyue Wu

引用次数: 0

Dictionary Based Three-phase Driver MOSFET Cascading Fault Diagnosis 基于字典的三相驱动MOSFET级联故障诊断

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944572

Chengzhi Sun, Cen Chen, X. Ye, G. Zhai, Dong Zhang

引用次数: 0

An Exploration into the Monitoring Methods for Key Parameters of Servo Drive Unit Based on Control Chart Method 基于控制图法的伺服驱动装置关键参数监测方法探讨

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944549

Peng Chong, Xie Libin, Liu Wenwei

引用次数: 0

Research on Reliability Modeling of Bivariate Correlation Degradation Based on Nonlinear Wiener Process 基于非线性维纳过程的二元相关退化可靠性建模研究

2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) Pub Date : 2022-08-21 DOI: 10.1109/ICRMS55680.2022.9944568

H. R. Li, G. Zhao, H. Yao

引用次数: 0