{"title":"Reliability modeling and analysis of cloud service based on complex network","authors":"Yaxin Bai, Hong Zhang, Yangzhen Fu","doi":"10.1109/PHM.2016.7819907","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819907","url":null,"abstract":"In recent years, cloud service is developing rapidly with its advantages of on-demand service, elastic extension and low-cost. Although the development of the cloud service is rapidly, more and more accidents also occur. So reliability of cloud services becomes the important factor that hinders its development, and in recent years the reliability of cloud services is becoming a research hotspot. In view of cloud service reliability research gaps in the field of complex networks, this article aims to put forward a reliability evaluating method of cloud services network and put forward a method to build complex network model. This method considers cloud services as nodes and the invocation of the relationship between the services as sides to build a complex network model. Through analyzing the model, it is easy to find the relationship of cloud services in the network, and find key services in a large number of services to increase the robustness and reliability of cloud services. Analyze the network structure of cloud services to assess the reliability of cloud services. This method which is put forward above leads the study of cloud services reliability from the traditional software reliability models to the complex network model. The method has guiding significance for further study of cloud services reliability.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"76 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":"124970315","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}
{"title":"A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets","authors":"Liu Hong, Yongzhi Qu, J. Dhupia, Yuegang Tan","doi":"10.1109/PHM.2016.7819882","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819882","url":null,"abstract":"The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is essential in scheduling the maintenance of drive-trains. However, the successful application of vibration based diagnostic techniques for planetary gearboxes is still challenging because of the complexities of the sideband behaviors in the measured vibration signal, which is a result of the revolution of the planets around the sun gear. Moreover, the performance of diagnostic techniques may further deteriorate since the measured vibration signals are often contaminated by the noise. Therefore, it is essential to develop a diagnostic scheme for extracting the fault signatures in planetary gear-sets. This paper begins with the summary of an analytical model of the planetary gear-sets developed by the authors that describes the characteristic behaviors of the fault introduced sidebands of the vibration spectrum picked by the fixed vibration sensor. This analytical model, which predicts the frequency components of planetary gear-sets, is easy to implement because the only prerequisite information is the basic geometry of the planetary gearbox. Afterwards, a novel vibration based diagnostic scheme for planetary gear-sets is developed. Its performance is then validated using simulated vibration signals generated from a dynamic model of the planetary gearbox. The proposed diagnostic scheme integrates the analytical vibration model, a de-noising algorithm and a frequency-domain indicator into one synergistic system for the early detection of damaged gear teeth in planetary gear-sets.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"3 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":"121793716","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}
D. Du, Changhua Hu, Xiaosheng Si, Zhengxin Zhang, Wei Zhang
{"title":"An improved remaining useful life prediction method for system with volatile degradation path","authors":"D. Du, Changhua Hu, Xiaosheng Si, Zhengxin Zhang, Wei Zhang","doi":"10.1109/PHM.2016.7819817","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819817","url":null,"abstract":"Remaining useful life (RUL) prediction is a key link in prognostics and health management. More accurate RUL prediction results will lead to more reasonable decision making on sequential management activities including maintenance, replacement, spare parts ordering, etc. In engineering practice, many products exhibit more volatile degradation paths when they have high degradation rates. By this observation, this paper concerns the problem of RUL prediction for a class of critical products which possess positive correlation between degradation rate and volatility. A Wiener-process-based degradation model with a special volatility parameter form is developed to achieve the aim. In this model, the volatility parameter has been set dependent on the drift parameter reflecting the degradation rate to describe the concerned problem. Both Bayesian updating and expectation maximization (EM) algorithm are used to estimate the unknown parameters in the model depend on the historically-observed degradation data. An exact and closed-form RUL distribution, which incorporates the random-effect capturing the unit-to-unit variability, is derived under the concept on the first passage time. Finally, a practical case study is used to illustrate and demonstrate the effectiveness of the presented method. The results show that the proposed approach can provide a more accurate RUL estimation for degradation system with volatile degradation path.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"87 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":"126304914","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}
Tianmin Shan, Jinglin Wang, Guo Zheng, Yong Shen, Chen Lu
{"title":"Real-time bearing residual life prediction based on status excursion","authors":"Tianmin Shan, Jinglin Wang, Guo Zheng, Yong Shen, Chen Lu","doi":"10.1109/PHM.2016.7819765","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819765","url":null,"abstract":"This paper deals with a new scheme for the prediction of a bearing's residual life based on the individual relative excursion compared with population. Sometimes we cannot establish the model of degradation trajectory. Nevertheless, the randomness, existing within the actual running of individual, can cause the individual relative excursion compared with population. The excursion well reflects the status characteristic of individual. In that case, this paper proposes an open and data-driven based status assessment method to obtain the individual status offset. After that we use the status deviation to establish the reliability correction model based on state offset, and then update the failure distribution to assess the real-time reliability, and ultimately accomplish real-time life prediction.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"32 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":"125908820","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}
{"title":"FPGA testing points optimization method based on important analysis","authors":"G. Zhou, Xiang Gao, Xiaoling Lai, Qi Zhu, Ting Ju, Yangming Guo, Hao Wu, Qiang Zhi","doi":"10.1109/PHM.2016.7819773","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819773","url":null,"abstract":"From the space and time dimension, the FPGA circuit is devised some levels with “computing unit + memory/register” via analyzing the characteristics of the FPGA circuit. Combined with the location importance, the connection degree among the nodes and their own soft error probability, an importance analysis model is proposed. And then the testing points are optimized based on the importance of each node using the proposed importance analysis model. The test results indicate that the method is a feasible optimization method.","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":"115972211","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}
{"title":"A condition indicator performance assessment method based on signal detection theory","authors":"Lun Zhang, N. Hu, Lei Hu, Zhe Cheng","doi":"10.1109/PHM.2016.7819863","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819863","url":null,"abstract":"Condition indicators are significant elements in condition monitoring systems. A condition indicator (CI) performance assessment method would help users to select effective CIs and improve fault diagnosis performance of condition monitoring system (CMS). Investigating of measurement influence factors shows that CIs obey normal distribution. Taking advantage of signal detection theory, a CI assessment method is proposed; Discriminability Index is used to evaluate ability of CIs to distinguish fault from health. Finally, the method is validated with experimental signals of bearing and gear, the result show that this method is effective to assess CI performance, and it could help to select CIs in CMS system.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"96 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":"122533154","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}
{"title":"An application of an optical measuring system to reinforced concrete beams analysis","authors":"Paweł Tworzewski, B. Goszczyńska","doi":"10.1109/PHM.2016.7819937","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819937","url":null,"abstract":"This paper presents the possibility of using optical measuring system ARAMIS for reinforced concrete beams behaviour studies. Measurements of spatial deformations (horizontal displacements and rotation of the cross section) and cracking process (width and number of cracks) of these elements were taken into account. Such measurements are very difficult to do with the use of traditional methods. System specification has been prepared in order to, test a large area of reinforced concrete beams. It was possible among other things, to use of two sensors/two sets of cameras. Due to this fact and the unusual use for testing of reinforced concrete elements, it was necessary to develop a procedure for reinforced concrete elements measuring. To evaluate the accuracy of measurement, uncertainty of the measurement system was calculated for the configuration used in the studies. The analysis of crack formation and corresponding displacements was based on results of tests performed on 14 single-span reinforced concrete beams monotonically loaded until failure. During studies all data were collected using optical measuring system based on ARAMIS software. On the basis of research and analysis it was demonstrated that the asymmetrical distribution of rebar in reinforced concrete beam section affects on horizontal displacements and the process of crack formation on the surface of the beam.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"203 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":"116440245","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}
{"title":"A strategy for fatigue life estimation under variable amplitude loading in consideration of load sequence based on damage mechanics","authors":"Yahui Li, Yunxia Chen","doi":"10.1109/PHM.2016.7819911","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819911","url":null,"abstract":"Most mechanical and structural components are typically subjected to variable amplitude loading during their entire life. For practical purpose, it is computationally advantageous to approximate the load sequence by blocks of cycles with constant amplitude and stress ratio. But the indispensable influence on life evaluation of the correlation characteristics between individual load processes can be ignored in many cases. The paper first reviews the historical achievements on the equivalence disposal and life-prediction models applied for variable amplitude loading. Based on the idea of Gaussian copula type model, the fatigue life process can be discretized into blocks. The dependence character is described with correlation length. Then an ameliorated model based on Corten-Dolan accumulated damage rule is introduced to draw to the equivalent stress range. Using the disposed stress sequence, a life estimation algorithm based on damage mechanics is presented, during which the coupling between damage field and stress field is considered to deduce the damage evolution equation. Finally, the strategy discussed above is applied examplarily to a practical case.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"65 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":"127133667","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}
Z. Han, J. Chen, Bangcheng Zhang, Yilong Wang, Zhi Gao
{"title":"Research on fault diagnosis of the fan blade of turbofan engine","authors":"Z. Han, J. Chen, Bangcheng Zhang, Yilong Wang, Zhi Gao","doi":"10.1109/PHM.2016.7819838","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819838","url":null,"abstract":"With the rapid development of space technology, the working safety and reliability of aero engine have attracted more and more attention. As the heart of the plane, aero engine has the high cost of development, and the quality of its performance affects directly the flight efficiency, reliability and economy of aircraft. It is difficult to diagnose the failure of aviation equipment by using few sample data. As such, the Belief-Rule-Base model is proposed, which is used to fault diagnosis of the fan blade of turbofan engine. The work of this paper mainly focuses on two aspects in the following: Firstly, the fault diagnosis model based on Belief-Rule-Base is modelled. Then, according to barycenter skewing of the fan blade and the change of the torque, the fault diagnosis method of fan blade based on Belief-Rule-Base is studied. This study proves that the model is effective for the fault diagnosis and the changing process of fan blade failure is got.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"21 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":"125851897","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}
Yuchen Song, Chen Yang, Tao Wang, Datong Liu, Yu Peng
{"title":"Hybrid approach of iterative updating for lithium-ion battery remaining useful life estimation","authors":"Yuchen Song, Chen Yang, Tao Wang, Datong Liu, Yu Peng","doi":"10.1109/PHM.2016.7819919","DOIUrl":"https://doi.org/10.1109/PHM.2016.7819919","url":null,"abstract":"Remaining Useful Life (RUL) prediction plays a critical part in many battery-powered applications. Statistical filter, i.e., particle filter (PF) is widely used to predict RUL with various models as well as its uncertainty representation. However, PF commonly used suffers from the lack of poor adaption of long-term prediction and iterative prediction. This disadvantage may further reduce the RUL estimation performance. To overcome this difficulty, this paper proposes a hybrid approach with dynamic updating for lithium-ion battery RUL estimation. The estimation results based on data-driven model of long-term degradation trend estimation are used as the observation value for regularized PF (RPF) to obtain the optimal estimation. Moreover, this optimized estimation value is utilized as the update online input to dynamically train the data-driven model, to improve the iterative predicting capability. The proposed approach comprises two ideas: (i) a dynamic updating strategy to predict the capacity of Li-ion battery and (ii) a modified combination of regularized particle filter and ND-AR (Nonlinear Degradation-AutoRegressive) model for accurate and stable RUL estimation. Experiment results suggest that the proposed approach, as a dynamic updating method combined with data-driven and empirical models, achieves better performance on both estimation accuracy and uncertainty representation.","PeriodicalId":202597,"journal":{"name":"2016 Prognostics and System Health Management Conference (PHM-Chengdu)","volume":"2014 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":"121437768","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}