2016 Prognostics and System Health Management Conference (PHM-Chengdu)最新文献

Hybrid maintenance cost optimization for EPC brake system of PMSM driven rail vehicle 永磁同步电机驱动轨道车辆EPC制动系统混合维护成本优化

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819954

Junjie Jiang, Gang Niu

引用次数: 0

Research on the assurance of reliability during the manufacturing process of mechanical products 机械产品制造过程中可靠性保证的研究

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819908

Wei Wang, Y. Ren, Jing Lv

{"title":"Research on the assurance of reliability during the manufacturing process of mechanical products","authors":"Wei Wang, Y. Ren, Jing Lv","doi":"10.1109/PHM.2016.7819908","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819908","url":null,"abstract":"The reliability of the product is designed, manufactured and managed. Now, there are many research about product reliability in the stage of design, while the research on product reliability in the stage of manufacturing process is less. The reliability requirements determined at the design stage need to realize through the manufacturing process. So, it is an urgent matter to ensure the reliability of the products in the manufacturing process. In product manufacturing process, there are many factors influence the form of the final reliability, such as process, equipment, etc. If the relationship between various factors and the realization of the product reliability requirements is not fully considered and controlled, the reliability index after the completion of product processing often cannot meet the design requirements. This paper first summarizes the research achievements on the assurance of reliability, and then based on the research, puts forward the concept of the assurance of reliability during the manufacturing process, analyze the main factors influencing the reliability of the mechanical manufacturing process and establish the corresponding system and model to guide the effective control of mechanical manufacturing process, finally ensure the implementation of reliability requirements which is determined in the stage of design. It not only highlights the importance of the related work, but also provides direction for later research on the assurance of the reliability of the manufacturing process.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"8 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":"114654231","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

Research on prediction model and method for equipment state and fault in test range 试验范围内设备状态和故障预测模型与方法的研究

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819922

Jiongqi Wang, Bowen Hou, Zhangming He, Haiyin Zhou, Xuanying Zhou

引用次数: 0

A novel diagnosis method for intelligent IETM platform based on cosine similarity and fuzzy semantic inference 一种基于余弦相似度和模糊语义推理的智能IETM平台诊断方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819953

Li Hao, Niu Gang

引用次数: 1

A comparative study of interpolation discrete fourier transform algorithms under strong noise 强噪声下插值离散傅里叶变换算法的比较研究

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819777

Jiufei Luo, Hong Xiao, Chuan Li, Yong Yang

引用次数: 0

Risk evaluation for deteriorating systems with accuracy analysis of parameter estimation 基于参数估计精度分析的退化系统风险评估

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819939

Jian-xun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Donghua Zhou

{"title":"Risk evaluation for deteriorating systems with accuracy analysis of parameter estimation","authors":"Jian-xun Zhang, Changhua Hu, Xiao He, Xiaosheng Si, Donghua Zhou","doi":"10.1109/PHM.2016.7819939","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819939","url":null,"abstract":"Risk analysis, which is a useful methodology to evaluate the performance of systems, can provide important information for maintenance decision and ensure stable running of the system. As a score function of the occurrence, severity and detection of a failure, risk priority number is the most common risk analysis approach. For degrading systems, the probability of failure occurrence could be obtained by modeling the degradation path, and the severity of failure could be quantified through engineering experience. Generally, the accuracy of the model is affected by the number of training data reflecting the detection. In this paper, we focus on statistical data driven approaches, which rely on the degradation data and statistical process model to describe the degradation path. First of all, we discuss the relationships between the accuracy of parameter estimation with likelihood function as well as the corresponding information entropy, based on probability theory and information theory. Then relative entropy indicating the distance between two distributions is utilized to evaluate the accuracy of parameter estimation, i.e. the degree of detection. Moreover, the risk value can be derived, because the probability of failure can be evaluated via modeling the degradation path. Finally, a numerical study is provided to illustrate the rationality and advantage of the proposed method over the traditional one.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"73 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":"127375591","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 method of test points optimization selection based on improved bacterial foraging algorithm 基于改进细菌觅食算法的测试点优化选择方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819935

Wenkui Hou, Zhiming Zhang

引用次数: 2

Parameter estimation of weibull mixtures based on improved cuckoo search algorithm 基于改进布谷鸟搜索算法的威布尔混合参数估计

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819800

Kuo Chi, Jianshe Kang, Guangbiao Wang, Ruifeng Yang

引用次数: 1

Reliability evaluation for an electronic system subject to competing risks of dependent soft and hard failures 受软、硬相关故障竞争风险影响的电子系统可靠性评估

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819897

Shaowei Chen, Yong Li, Shuai Zhao, V. Makis

引用次数: 6

An integrated method for hardware FMEA of new electronic products 新型电子产品硬件FMEA的集成方法

2016 Prognostics and System Health Management Conference (PHM-Chengdu) Pub Date : 2016-10-01 DOI: 10.1109/PHM.2016.7819875

Zenghui Yuan, Ying Chen, Ning Tang

{"title":"An integrated method for hardware FMEA of new electronic products","authors":"Zenghui Yuan, Ying Chen, Ning Tang","doi":"10.1109/PHM.2016.7819875","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819875","url":null,"abstract":"Failure mode, effects analysis (FMEA) is widely recognized and applied in different fields, such as aviation, aerospace, automotive industries. And later FMEA has been extended to other industries, such as electronics, medical and so on. For key products, FMEA is an indispensable part in reliability analysis. However, many products are newly researched and developed, with high integrated level and complicated failure mode, reasons and effects. Historical data and similar products data are also scarce, which constrain the effectiveness of hardware FMEA. Besides, technicians are relatively young and inexperienced with incomplete understanding of failure and effects, which will result in incomplete analysis results. These problems affect implementation effect of hardware FMEA and will affect the subsequent reliability, maintainability, testability and supportability analysis work. Aiming at the above problems, this paper proposes an integrated method for hardware FMEA of new electronic products which integrates present advanced failure mode acquisition, failure mechanism analysis and failure effect analysis together. This method can effectively solve the above problems, meanwhile make supplement for the problem not taking redundant design into consideration in traditional FMEA method. It has been proved that this integrated method achieved good effect on a type of new research aviation electronic products.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"15 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":"115245162","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