2016 Prognostics and System Health Management Conference (PHM-Chengdu)最新文献_第5页

An adaptive state-space model for predicting remaining useful life of planetary gearbox 行星齿轮箱剩余使用寿命预测的自适应状态空间模型

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819823

Xianglong Ni, Xin Zhang, Fucheng Sun, Jinsong Zhao, Jianmin Zhao

引用次数: 7

The safety assessment process of carrier aircraft's control system 舰载机控制系统安全评估过程

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819867

Binghao Hu, Q. Liang, D. Zhong, Hao Wang

{"title":"The safety assessment process of carrier aircraft's control system","authors":"Binghao Hu, Q. Liang, D. Zhong, Hao Wang","doi":"10.1109/PHM.2016.7819867","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819867","url":null,"abstract":"Carrier aircraft's control system is the core system of carrier aircraft, the existing military standards such as MIL-STD-882E fail to provide specific or sufficient division of safety sessions for the development cycle of such systems and don't specify the kind of safety analysis using, which allows the carrier aircraft's control system safety analysis can't be fully carried out. Therefore, it's the urgent need to put forward a set of safety assessment process for the carrier aircraft's control system. Firstly, This article which submits a detailed work phases of the safety assessment process for carrier aircraft's control system, divides the process into preliminary hazard list and function hazard assessment, preliminary system safety assessment, subsystem system safety assessment, System safety verification corresponding to its four development stages; Secondly, there have many different safety analysis methods which decided by the characteristic of each working stage, such as Fault Tree Analysis and Failure modes and Effects Analysis to analysis component failure, Common Cause Analysis to analysis coupled dangerous, and analysis method for the interactive danger of carrier aircraft's control system is System Control Hazard Analysis; Finally it put forward a comprehensive safety assessment process of carrier aircraft's control system. Safety assessment process proposed this article can guarantee that the safety analysis work of carrier aircraft carries out smoothly.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125135979","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

The moment-independence importance measure for fuzzy failure criterion and its Kriging solution 模糊失效准则的矩无关性重要性测度及其Kriging解

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819898

Guijie Li, C. Xie, F. Wei

{"title":"The moment-independence importance measure for fuzzy failure criterion and its Kriging solution","authors":"Guijie Li, C. Xie, F. Wei","doi":"10.1109/PHM.2016.7819898","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819898","url":null,"abstract":"For analyzing the effects of the uncertainties of the fuzzy failure criterion and the input variables on fuzzy failure probability, the moment-independence importance measure (MIIM) model on the fuzzy failure probability for the fuzzy state structural system is proposed. Firstly, according to the fuzzy random theory, the fuzzy failure criterion is transformed into the equivalent additional random variable of the structural system, whose the probability density function (PDF) and cumulative distribution function (CDF) are obtained by analyzing the membership of the fuzzy failure criterion. Secondly, the equivalent performance function after introducing additional random variable is established. The difference between the conditional fuzzy failure probability and unconditional one is employed to define a moment-independent measure index in this paper. Through establishing surrogate model of equivalent performance function using kriging method, the kriging-based method is established to estimate the define MIIM index, which can reduce the computational cost effectively. An engineering example is used to demonstrate the feasibility and rationality of the proposed importance measure model and the efficient and precision of the kriging solution.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122455951","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

Dependence analysis of planetary gearbox vibration marginals 行星齿轮箱振动边缘的相关性分析

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819881

Libin Liu, M. Zuo, Xihui Liang

引用次数: 1

A GKPCA-NHSMM based methodology for accurate RUL prognostics of nonlinear mechanical system with multistate deterioration 基于GKPCA-NHSMM的多状态退化非线性机械系统RUL准确预测方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819782

Gaige Chen, Jinglong Chen, Y. Zi

{"title":"A GKPCA-NHSMM based methodology for accurate RUL prognostics of nonlinear mechanical system with multistate deterioration","authors":"Gaige Chen, Jinglong Chen, Y. Zi","doi":"10.1109/PHM.2016.7819782","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819782","url":null,"abstract":"Remaining useful life (RUL) prognostics is a core problem in prognostics and health management (PHM). Accurate RUL prediction is crucial not only to the verification of mission goals but also to failure prevention and maintenance decision in a more effective and efficient manner. However, the substantial nonlinearity is one of most important challenges in deterioration modeling and RUL estimation of nonlinear mechanical system. An interesting contribution is the improvement of RUL prediction accuracy by the use of both greedy kernel principal components analysis (GKPCA) for dimensional reduction to extract feature from multi dimension data set of monitored nonlinear mechanical system and nonhomogeneous hidden semi-Markov model (NHSMM) to model the multistate deterioration process. A case study with the data set from turbofan engines is analyzed using the methodology, and by comparing the prediction accuracy with the previously linear PCA-NHSMM's, the result verifies the effectiveness (closer to actual RUL, earlier tracked health state, smaller boundary width) and efficiency(higher prognostics robustness) of the methodology.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127685913","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: 3

Arc fault modeling and simulation in DC system based on Habedank model 基于Habedank模型的直流系统电弧故障建模与仿真

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819827

Minghao Ju, Li Wang

引用次数: 5

Fault classification of rolling bearing based on LMD-sample entropy and LS-SVM 基于lmd样本熵和LS-SVM的滚动轴承故障分类

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819788

Jie Bian, Changqin Huo, Guang Tang, Jun Gao, Lisheng Lin

引用次数: 1

Research on health monitoring of LED lighting system LED照明系统健康监测研究

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819948

C. Ding, Tianyu Zhang

{"title":"Research on health monitoring of LED lighting system","authors":"C. Ding, Tianyu Zhang","doi":"10.1109/PHM.2016.7819948","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819948","url":null,"abstract":"Intelligent monitoring is a useful method to improve the efficiency of maintenance and reduce running costs for the LED lighting system with scattered distribution and large quantity of LEDs. A simple and effective proposal is raised in this paper for LED health monitoring. Firstly, the relation curve between LED life and junction temperature is fitted out based on its parameters tested in factory. Then the relationship between junction temperature and input electric parameters is deduced by LED heating mechanism, and the mathematical model of about the two previous is established by applying BP neural network. Thus, based on the relationship between LED life and input electric parameters the intelligent monitoring system could be easy to construct. The health monitoring system is designed by applying Zigbee wireless technology, integrating the sampling circuit of the input electric parameters on LED driver, processing and analyzing the data which is sampled in the LED driver output side and then transmitted wirelessly to the PC. A principle prototype of the monitoring system is made to do experiments, and the experimental results have verified the validity and feasibility of the electric parameter sampling circuit and the ZigBee data transmission. It is proved that the method proposed can achieve the LED damage detection and predict the residual life through data analysis of input electric parameter.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114488414","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: 4

Reliability data analysis of bogie components of high speed train 高速列车转向架部件可靠性数据分析

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819892

Ting Yun, Yong Qin, L. Jia, Yong Fu, Jinchu Zheng

引用次数: 2

A degradation-modeling based prognostic approach for systems with switching operating process 具有切换操作过程的系统的基于退化模型的预测方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819815

Zhengxin Zhang, Changhua Hu, Xiaosheng Si, Shaohua Zhou

{"title":"A degradation-modeling based prognostic approach for systems with switching operating process","authors":"Zhengxin Zhang, Changhua Hu, Xiaosheng Si, Shaohua Zhou","doi":"10.1109/PHM.2016.7819815","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819815","url":null,"abstract":"Degradation-modeling based prognostic approach has been proved as an effective alternative to the conventional lifetime-data dependent residual life prediction method, and thus draw much attention of both scholars and engineers in the field of reliability. The degradation process of a system is the result of interaction between its inner states and working environments. To provide a reasonable reference for the sequential decision making based on prognostic result, the influence of operation process has to been incorporated into degradation modeling and prognosis. Therefore, this paper concerns the residual life prediction issue for system experiencing switching operation process whose influence on the system's performance degradation includes both deterioration and shocks. Besides the fact that the concerned system exhibits different deteriorating rates in each operation state, the change of operation states introduces external stresses and causes mutation in performance of the system. Therefore, the operation process depicted through a continuous time Markov chain (CTMC) is incorporated into the system's degradation modeling, based on which the system's residual life distribution is derived approximately yet explicitly after it is defined under the concept of first hitting time (FHT). Such a residual lifetime distribution is quite desired in prognostics and health management, especially for cases where online updating is required. The proposed approach is illustrated and validated by a numerical study.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"5 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932701","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: 4