Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)最新文献_第10页

Reliability Enhancement Test of a single board computer 单板计算机可靠性增强测试

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228910

Ying Chen, Limei Xie, Z. Hou, R. Kang

{"title":"Reliability Enhancement Test of a single board computer","authors":"Ying Chen, Limei Xie, Z. Hou, R. Kang","doi":"10.1109/PHM.2012.6228910","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228910","url":null,"abstract":"Reliability Enhancement Test (RET) mainly uses stress which is much larger than actual environmental stress to expose potential defects of products fast and effectively. Failure mode analysis, failure mechanism analysis method and improvement measures will be taken after the test to eliminate defects, and to improve the product's reliability. Based on Physics of Failure (PoF) theory, which regards fault or failure as the main research object, RET can be used to find ultimate stress for products, analyze the changes of the performance indexes and identify products' weak links and sensitive stresses within limited funds and test time. It can also provide some information for PHM such as monitoring positions and parameters. This paper introduces how we implemented RET on a single board computer in detail, the procedure includes stress analysis, designing test program, determination of the monitoring parameters, data collection and analysis. Results show that monitoring parameters of the reset chip, voltage converter and FLASH chip of the single board computer obviously change during the RET of temperature. Especially, Output of voltage converter is very sensitive to high temperature stress, and the change trend becomes more and more obvious with the change of temperature. Output signal of an IC chip, whose function is temperature sensor, becomes abnormal at 125°C. Therefore, in the implementation process of PHM reliability level of sensors must be higher than devices they monitored. All of output parameters are sensitive to random vibration.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123598724","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

Prognostics of lithium-ion batteries using model-based and data-driven methods 基于模型和数据驱动方法的锂离子电池预测

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228850

Chao-Shiou Chen, M. Pecht

引用次数: 67

An assessment of water conditions in a PEM fuel cell stack using Electrochemical Impedance Spectroscopy 用电化学阻抗谱法评价PEM燃料电池堆的水条件

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228846

A. Debenjak, V. Jovan, J. Petrovčič, Matej Gašperin, B. Pregelj

引用次数: 7

Health monitoring of civil infrastructure systems-the stress wave approach 土木基础设施系统健康监测——应力波法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228957

Jun Chen, Liang Zhang

引用次数: 0

Study of the long-term performance prediction methods using the spacecraft telemetry data 基于航天器遥测数据的长期性能预测方法研究

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228775

Hongzheng Fang, Yi Xing, Kai Luo, Liming Han

{"title":"Study of the long-term performance prediction methods using the spacecraft telemetry data","authors":"Hongzheng Fang, Yi Xing, Kai Luo, Liming Han","doi":"10.1109/PHM.2012.6228775","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228775","url":null,"abstract":"The study of the changing trends of the performance of the spacecraft is helpful to the estimation of the remaining usage life (RUL), which is the important basis of the realization of the spacecraft prognostics and health management. The types of the spacecraft telemetry data include the slow change, periodic change, abrupt change and the combination of the above three changes. This paper firstly analyzes the spacecraft telemetry data change rule. Secondly, the telemetry data is decomposed into 3 types, which is the trend, seasonal and random component, through the method of X-11. After that, the different prediction methods, such as the AR linear regression method, the BP neural network method, the nonparametric regression method, are taken respectively to predict the long-term performance trend of the above 3 types of the telemetry data. Finally, the predicted data using the above methods are fused to form the final prediction result, and the decay factor between the predicted data and the original data is computed. Furthermore, the experiment result shows the proposed prediction method can be effectively applied to the prediction of the performance trend of the spacecraft telemetry data, and has strong practical significance in the field of the spacecraft engineering project.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120953972","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: 8

Theoretic analysis and numerical simulation of the output characteristic of multilayer inductive wear debris sensor 多层电感式磨损磨损传感器输出特性的理论分析与数值模拟

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228970

Xiaohua He, Dingxin Yang, Zheng Hu, Yongmin Yang

引用次数: 8

Fault diagnosis of gear crack based on sequential probability ratio test 基于序列概率比检验的齿轮裂纹故障诊断

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228903

Hanxin Chen, Yunfei Shang, Chanli Ke, Kui Sun

引用次数: 1

A new electronic product PHM analytical object identifying method based on failure of physics and simulation 一种基于失效物理和仿真的电子产品PHM分析对象识别新方法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228809

Yanzun Jin, Hantian Gu, R. Kang

{"title":"A new electronic product PHM analytical object identifying method based on failure of physics and simulation","authors":"Yanzun Jin, Hantian Gu, R. Kang","doi":"10.1109/PHM.2012.6228809","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228809","url":null,"abstract":"It's essential to identify the vital parts at the blue-print stage of electronic products before the engineers scheme out any method of product fault prognostication and health management. Currently, the vital parts, which are expensive, fragile, or with complex and critical functions, can be confirmed through experience, field data or FMEA method. This paper presents a new method to provide a list contains all components and potential failure points which need to be paid attention to at the scheming stage. The electronic designers can make a decision if the weak points of the electronic product are possible and necessary to take any prognostication and health management technique. In this method, Numerical Heat Transfer (NHT) and Finite Element Analysis (FEA) have to be applied on the electronic product to obtain the localized environment condition firstly. And based on the failure of physics theory, various failure models, which describe material thermal mismatch as well as the fatigue crack caused by vibration, can be used to identify the failure time, failure mode and mechanism of every component and other potential failure points. Consequently, the vital parts of the electronic product which work under harsh environment and may lead to critical failure can be focused seriously, while the capacity parameters should be monitored during the whole life-cycle. Additionally, the alternative method shown in this paper is applied on an avionic printed circuit assembly as the cased study.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126471887","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 novel fault diagnosis method for satellite systems based on multivalue logic inference with semi-tensor product of matrices 基于矩阵半张量积多值逻辑推理的卫星系统故障诊断新方法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228778

F. Song, S. Qin

{"title":"A novel fault diagnosis method for satellite systems based on multivalue logic inference with semi-tensor product of matrices","authors":"F. Song, S. Qin","doi":"10.1109/PHM.2012.6228778","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228778","url":null,"abstract":"Due to complexities in satellite systems, the relationship between faults and symptoms become more complex, usually each fault may be related to several fault symptoms and some different faults can result in the same symptoms, so as to make the fault diagnosis very hard with direct symptom analysis. Some suspected faults could be found through symptom analysis combined with a priori knowledge, however it is very important to achieve effective diagnosis with a series of uncertain and unreliable factors. This paper presents a novel fault diagnosis method for satellite systems based on multivalue logic inference with semi-tensor product of matrices. Firstly, the multivalue logic methodology is employed to define fault symptoms and conditions as propositions thus the logical values of various propositions can be expressed as vectors. In this way, the multivalue logic inference is implemented by some fast operations with the semi-tensor product of matrices which extends matrix product operations to any case of incompatible dimension matrices. Then the probabilities of suspected faults can be found through mathematical calculation of multivalue logic, according to which the diagnosis decision is made for various faults and the corresponding spare switch is carried out to guarantee the online safety of satellite systems. Finally the feasibility and effectiveness of the proposed method are verified and validated by some simulation experiment results and its advantages are also remarked briefly.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126613215","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: 5

Simulation of ultrasonic testing technique by Finite Element Method 超声检测技术的有限元模拟

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228959

Hanxin Chen, Kui Sun, Chanli Ke, Yunfei Shang

引用次数: 12