Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)最新文献_第7页

An adaptive gamma process based model for residual useful life prediction 基于自适应伽马过程的剩余使用寿命预测模型

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228785

Wenjia Xu, Wenbin Wang

引用次数: 17

The calculating PHM cluster: CH&P mathematical models and algorithms of early prognosis of failure 计算PHM簇:CH&P数学模型及故障早期预测算法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228771

A. Kirillov, S. Kirillov, Michael G. Pecht

{"title":"The calculating PHM cluster: CH&P mathematical models and algorithms of early prognosis of failure","authors":"A. Kirillov, S. Kirillov, Michael G. Pecht","doi":"10.1109/PHM.2012.6228771","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228771","url":null,"abstract":"This work describes mathematical models and computing cluster for early failure prognosis and accurate estimates of remaining useful life (RUL) for technical objects: internal combustion engines, gas turbine, hydroelectric turbines, wind turbines, etc. The hierarchy of mathematical models for prognosis (CH&P) is based on a hierarchy of degrees of developed failure, and solves the problem of accurate assessment of RUL; determines the required physical parameters for the prediction and risk assessment; classifies the signs and their evolution at all stages of development. In the absence of early incipient fault the mathematical model identifies incipient of fault cause, the time evolution of which leads to the appearance of early incipient fault. In the absence of incipient of fault cause the hierarchical mathematical model analyzes the state of the system using the methods of symbolic and topological dynamics to identify the evolution of symbolic hidden trajectories of the observed signals, which leads to Incipient of hidden fault cause. Thus, the hierarchical mathematical model provides the earliest prognosis of occurrence of failure causes. It is also noted that in the analysis stage of hidden trajectories (preventive prognosis) is possible a physical reversibility in the technical system. There is a legitimate question about the implementation of the automatic stochastic management by system in real time in order to avoid failure at the stage of the appearance of their hidden causes.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"6 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":"123797020","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: 11

Current status and future of testability assessment technology 可测试性评估技术的现状与未来

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228790

Gang Li, Yanheng Ma, Weiwei Zhao, Yajun Xu

引用次数: 0

Design of the BIT base on the structure of the radar system 基于雷达系统结构的BIT设计

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228882

Ye Zhang, Yanheng Ma

引用次数: 1

Availability model of complex equipment supported by multilevel maintenance agencies 多层次维修机构支持的复杂设备可用性模型

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228944

Yang Ge, Qi Gao, Zhaoxie Huang

引用次数: 0

Aircraft fault diagnosis prognostics and health management based on flight recorder 基于飞行记录仪的飞机故障诊断预测与健康管理

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228934

Chaojiang Hu

{"title":"Aircraft fault diagnosis prognostics and health management based on flight recorder","authors":"Chaojiang Hu","doi":"10.1109/PHM.2012.6228934","DOIUrl":"https://doi.org/10.1109/PHM.2012.6228934","url":null,"abstract":"A flight recorder is very important onboard flight safety equipment, ant it plays a very important role in aircraft fault diagnosis prognostics and health management(AFDPAHM). It is thought that there are three methods when a flight recorder is applied in AFDPAHM after the composition and characteristics of flight reorder information have been studied: the first is analytical redundancy ones, the second is parameter trend forecasting ones, and the third is fault tree ones etc. The application of the three methods in AFDPAHM has been discussed in detail in this paper. These three methods have their advantages and disadvantages respectively. When the mathematical model of a subsystem or device is easy to be set up, the analytical redundancy method can be applied. When the failure mechanism of the subsystem or device is very complicated and it is very difficult to set up its mathematical model, the parameter trend predication can be used. When the logic relationship of internal structure of the subsystem or device is very clear and the failure probability of every component can be obtained, then the fault tree method is available.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120849870","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

Reliability prediction based on degradation measure distribution and wavelet neural network 基于退化测度分布和小波神经网络的可靠性预测

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228782

Xiangjun Dang, T. Jiang

引用次数: 1

The specific methods In ATS development based on IEEE 1641 STD 基于IEEE 1641 STD的ATS开发的具体方法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228922

Cuihong Huang, Zhaoyang Zeng, Dandan Liu, Fan Li

引用次数: 0

A pre-processing method for degradation parameter 一种退化参数预处理方法

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228780

Lizhi Wang, T. Jiang, Xiaoyang Li, Xiaohong Wang

引用次数: 1

Gear incipient fault prognosis using Density-adjustable Spectral Clustering and Transductive SVM 基于可调密度谱聚类和转换支持向量机的齿轮早期故障预测

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) Pub Date : 2012-05-23 DOI: 10.1109/PHM.2012.6228905

Hua-kui Yin, Weihua Li

引用次数: 1