2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)最新文献_第9页

A Spatial Statistical Approach for Risk-based Inspection of Sewer Network 基于空间统计的污水管网风险检测方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00171

Yangjie Zhang, H. Mu, X. Yi

引用次数: 1

Research on maintenance guiding system based on augmented reality 基于增强现实的维修引导系统研究

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00180

P. Zhao, Hongchao Wu, Xue Shi, Jing Li, X. Yi, Shulin Liu

引用次数: 4

A New Method For Estimating System Reliability Using Historical Data 一种利用历史数据估计系统可靠性的新方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00103

Yue Chen, P. Hou, X. Yi

引用次数: 0

A Model-Based Safety Analysis Method for Hybrid Systems Based on Multiple Hazard Factor Categories 基于多危险因子分类的混合动力系统安全分析方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00181

Hongya Wang, D. Zhong, Yukun Zhao, Rui Sun

{"title":"A Model-Based Safety Analysis Method for Hybrid Systems Based on Multiple Hazard Factor Categories","authors":"Hongya Wang, D. Zhong, Yukun Zhao, Rui Sun","doi":"10.1109/SDPC.2019.00181","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00181","url":null,"abstract":"Safety issues in hybrid systems increasingly result from a combination of multiple categories of hazard factors. However, current hazard analysis methods mainly focus on just one kind of system hazard. This paper presents a model-based safety analysis method for hybrid system that is based on multiple hazard factor categories. Using a Model-Based Safety Analysis framework, the functional model of a hybrid system is first established. Its logic component is modeled using a state diagram and its continuous component is modeled using a transfer function or a state equation. The safety model of the system is then constructed considering a variety of hazard factors. Improper control and logic inconsistency are established for the logic component. Component deviation and logic inconsistency are established for the continuous component. Finally, the safety of the system is then analyzed and the hazard paths are obtained. As an example, the Wheel Brake System for an aircraft is taken to analyze the safety of the aircraft landing phase. By taking into account multiple hazard factor categories, we are able to identify hazard paths that could not be found using a single hazard factor category.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126651288","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

Estimation of Spectrum Envelope for Gear Motor Monitoring Using A Laser Doppler Velocimeter 用激光多普勒测速仪监测齿轮电机的频谱包络估计

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00050

Kesaaki Minemura, Toshiya Nagumo, T. Akashi

{"title":"Estimation of Spectrum Envelope for Gear Motor Monitoring Using A Laser Doppler Velocimeter","authors":"Kesaaki Minemura, Toshiya Nagumo, T. Akashi","doi":"10.1109/SDPC.2019.00050","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00050","url":null,"abstract":"A new spectrum envelope estimation method for use in rotary machine monitoring is proposed. Aspects including the Internet of things, monitoring, sensing and signal processing have been considered for diagnostics of low-speed rotary machines. In this paper, signal processing in sensing when using a laser Doppler velocimeter for monitoring of low–rotational-speed machines such as gear motors is studied. It is possible to measure the shaft vibration of a rotary machine directly via laser Doppler velocimetry. Therefore, this type of velocimeter is suitable for replacement of the current monitoring methods used in vibration measurement of low-rotational-speed machines. However, the laser Doppler velocimeter shows low sensitivity to the harmonic spectrum structure, which is the most important information required when monitoring a gear structure. The balance of each harmonic spectrum structure can be confirmed using a spectral envelope. Therefore, a signal processing technique that addresses the problem of low sensitivity to harmonic components during spectral envelope estimation is proposed. By focusing on the peak frequency of the spectrum, which is a major technique in the signal processing field, a method for construction of an autocorrelation function and estimation of the spectrum envelope is proposed. The proposed spectral envelope estimation method is verified by an illustration using the gear meshing frequency. The effectiveness of the proposed estimation method is confirmed using a visualization graph.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114300638","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

UHF Partial Discharge Signal Recovery Method Based on Compressive Sensing 基于压缩感知的超高频局部放电信号恢复方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00152

Q. Gao, Qi Liu, Zhannan Guo, Nan Zhou, Zhen Li

引用次数: 0

CBR Theory Applied to Educational Administration System based on jBPM CBR理论在基于jBPM的教务管理系统中的应用

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00095

Feng He, Q. Han

引用次数: 1

An optimization study of self-adaptive target parameter scan technology for terminal-sensitive submunition 末敏子弹炮自适应目标参数扫描技术的优化研究

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00066

Z. Peng, W. Gao, Yong Li, Mingjun Ding, Weizhao Chao, Xiaoling Hu, Hua Guo

引用次数: 1

Prediction method of dedicated power supply for tank commander panoramic based on grey Markov model optimized by PSO 基于PSO优化的灰色马尔可夫模型的坦克指挥员全景专用电源预测方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00043

Yingshun Li, Yu Xiao, X. Yi

{"title":"Prediction method of dedicated power supply for tank commander panoramic based on grey Markov model optimized by PSO","authors":"Yingshun Li, Yu Xiao, X. Yi","doi":"10.1109/SDPC.2019.00043","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00043","url":null,"abstract":"Electrical equipment failure is a monotonous process with a sudden change in performance due to its own life cycle and a sudden change in state deterioration. Taking the dedicated power supply for tank commander panoramic of a certain type tank as the research object. The concepts of grey prediction model and Markov model are introduced. The Markov model is used to classify the residuals of the grey GM(1,1) prediction model, and the state transition matrix is determined. The particle swarm optimization algorithm is used to find the whitening coefficient of the Markov model residual state, and the grey Markov model of particle swarm optimization is established.The dedicated power supply for tank commander panoramic measurement values (highest value, lowest value, median value) are predicted. The results show that the optimized prediction results are better than the original gray GM (1,1) and gray Markov prediction methods. With the increase of the working time of the dedicated power supply of the dedicated power supply for tank commander panoramic, the trend of relative error occurrence state transition is more stable, the accuracy of prediction will be further improved, and the equipment can predict and maintain a certain value for maintenance work.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129177023","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

Valve fault diagnosis of internal combustion engine based on an improved stacked autoencoder 基于改进堆叠自编码器的内燃机气门故障诊断

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI: 10.1109/SDPC.2019.00060

Kun Chen, Zhiwei Mao, Haipeng Zhao, Jinjie Zhang

{"title":"Valve fault diagnosis of internal combustion engine based on an improved stacked autoencoder","authors":"Kun Chen, Zhiwei Mao, Haipeng Zhao, Jinjie Zhang","doi":"10.1109/SDPC.2019.00060","DOIUrl":"https://doi.org/10.1109/SDPC.2019.00060","url":null,"abstract":"The valve train fault is a common mechanical fault of internal combustion engines (ICEs) due to the valve clearance usually oversized because of the wear of valve mechanism, material deformations, and long continuous running hours. Feature extraction dependent on the expertise and experience too much in traditional fault diagnosis. In this study, a stacked autoencoder (SAE) is proposed for adaptive and hierarchical feature extraction in cylinder vibration signals. The capability of feature mining in SAE is enhanced after unsupervised layer-by-layer pre-training and supervised fine-tuning. Further, the dropout trick and the batch normalization trick are introduced to prevent over-fitting and accelerate model convergence. The harmonic search (HS) algorithm is proposed to obtain the optimal hyper-parameter values in the SAE model, and achieve adaptive adjustment of the model structure. The diesel engine vibration data consisting of seven valve health states is employed to verify the effectiveness of the proposed method, the results demonstrate that the proposed method outperforms original SAE and many conventional fault diagnosis algorithms in terms of the classification accuracy.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335199","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