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Bayesian Assessments of Aeroengine Performance with Transfer Learning [article]

Pranay Seshadri and Andrew Duncan and George Thorne and Geoffrey Parks and Raul Vazquez Diaz and Mark Girolami
2021 arXiv   pre-print
Aeroengine performance is determined by temperature and pressure profiles along various axial stations within an engine.  ...  In this paper we detail a Bayesian methodology for interpolating the spatial temperature or pressure profile at axial stations within an aeroengine.  ...  PS, AD and MG would also like to acknowledge the support of the Lloyd's Register Foundation Data-Centric Engineering programme of the  ... 
arXiv:2011.14698v2 fatcat:77iccnq7tfgk7hiwp5veq3ik5m

A GM (1, 1) Markov Chain-Based Aeroengine Performance Degradation Forecast Approach Using Exhaust Gas Temperature

Ning-bo Zhao, Jia-long Yang, Shu-ying Li, Yue-wu Sun
2014 Mathematical Problems in Engineering  
Performance degradation forecast technology for quantitatively assessing degradation states of aeroengine using exhaust gas temperature is an important technology in the aeroengine health management.  ...  As an example, the historical monitoring data of exhaust gas temperature from CFM56 aeroengine of China Southern is used to verify the forecast performance of the GM (1, 1) Markov chain model.  ...  Acknowledgment The present work is supported by the Fundamental Research Funds for the Central Universities of China (no. HEUCFZ1005).  ... 
doi:10.1155/2014/832851 fatcat:6zjp62tzdzbhrfmvqldqmotgti

Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework

Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng, Liang Guo
2021 Shock and Vibration  
In order to improve the accuracy and calculation efficiency of aeroengine rotor vibration reliability analysis, a time-varying rotor vibration reliability analysis method under the aeroengine operating  ...  Aiming at the highly nonlinear and strong coupling of factors affecting the reliability of aeroengine rotor vibration, an intelligent neural network modeling framework (short form-INNMF) is proposed.  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China (Grant no. 51875465). e authors are grateful for the support.  ... 
doi:10.1155/2021/9910601 fatcat:iajbmuosmnfohekzcbmpffijcy

Case-Based Reasoning System for Aeroengine Fault Diagnosis Enhanced with Attitudinal Choquet Integral

Mengqi Chen, Jingyang Xia, Ruoyun Huang, Weiguo Fang
2022 Applied Sciences  
An experimental study of aeroengine fault diagnosis and comparisons with other similarity aggregation methods were performed to demonstrate the effectiveness of the proposed method.  ...  As the core process of case-based reasoning (CBR), case retrieval is the foundation for CBR success, and the quality of case retrieval depends on the case similarity measure.  ...  Categorical attributes include the aeroengine model, aeroengine category, aeroengine operation state, thrust performance, temperature performance, rotational performance, aeroengine shutdown, and other  ... 
doi:10.3390/app12115696 fatcat:mtlvstqqfrffnfofs6wlpebmki

Bayesian Inference under Small Sample Sizes Using General Noninformative Priors

Jingjing He, Wei Wang, Min Huang, Shaohua Wang, Xuefei Guan
2021 Mathematics  
The performance of different noninformative priors under small sample sizes is compared using the likelihood combining both fitting and prediction performances.  ...  This paper proposes a Bayesian inference method for problems with small sample sizes. A general type of noninformative prior is proposed to formulate the Bayesian posterior.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math9212810 fatcat:dxjy4t7dtnazrgf4pp2mamv7dq

Performance Reliability Prediction of Complex System Based on the Condition Monitoring Information

Hongxing Wang, Yu Jiang
2013 Mathematical Problems in Engineering  
With degradation assessment results as input variables, the prediction model of reliability is established in Winer random process.  ...  system performance.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China and Civil Aviation Administration of China (no.  ... 
doi:10.1155/2013/836517 fatcat:apafxq2v7vbfzicwo24keepxma

Remaining useful life prognostics for aeroengine based on superstatistics and information fusion

Junqiang Liu, Malan Zhang, Hongfu Zuo, Jiwei Xie
2014 Chinese Journal of Aeronautics  
Over the past decades, research has been conducted in RUL prognostics for aeroengine.  ...  The performance degradation evolution of the engine is modeled by fusing multiple monitoring parameters, which manifest non-stationary characteristics while degrading.  ...  This study was co-supported by the State Key Program of National Natural Science of China Xie Jiwei is currently a master student in College of Civil Aviation, Nanjing University of Aeronautics and Astronautics  ... 
doi:10.1016/j.cja.2014.08.013 fatcat:uurmomvsrrhzrnmxgrb4imgrrq

Author Index

2021 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)  
Bi, Xinjie Visibility Graph based Feature Extraction for Fault Diagnosis of Rolling Bearings [570256] Bin, Jie Optimization Method of Virtual Sand Table Background Server Based on Unity 3D [571175] C  ...  Drilling Pump Based On Dynamic Fault Tree [570253] Research on Key Technologies of Health Assessment for Multi-equipment Production Line [570275] Research on Prediction of Turbine Mechanical Performance  ...  [570216] Y Yang, Ke Yan, Jundong An Aeroengine Fault Diagnosis Method Based on UTCA and DBN [570257] Research on Health Assessment System of Aircraft Power Supply System [570292] Yang, Kexin Yan, Ruqiang  ... 
doi:10.1109/phm-nanjing52125.2021.9612757 fatcat:h4xp5wbdvjdpvmsri2dktwupbi

Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation

A. Caricato, A. Ficarella, L. Spada Chiodo, ATI Italian Termotecnics Association, ATI Italian Termotecnics Association
2021 E3S Web of Conferences  
Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines.  ...  Results show comparable performance in terms of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of predicted with respect to actual RUL, in particular predictions obtained through recourse  ...  The main duties of PHM technology are monitoring of key features, assessing engine health, identifying and isolating potential faults and establishing degradation trends to be used to predict the engine  ... 
doi:10.1051/e3sconf/202131211017 fatcat:gxtnmlba2jctnibca4omxknjty

Research Progress of Engine Health Management

Chengzi Luo, Lan Deng
2019 DEStech Transactions on Engineering and Technology Research  
Then we detail the contents of engine health management, gas path analysis, health management of the mechanical system, life management of the consumables, clarified the key position of information in  ...  Abstract:In this paper, we summarize domestic and foreign literatures, briefly review the development history of Engine Health Management, and conclude the necessity of studying the Engine Health Management  ...  performance parameters under the condition of aeroengine in wing life prediction model, including based on time series method, based on the bayesian updating method and based on immune particle swarm  ... 
doi:10.12783/dtetr/eeec2018/26865 fatcat:u25mp4opnvgnxif3cqfywcjodi

Probabilistic Low Cycle Fatigue Life Prediction Using an Energy-Based Damage Parameter and Accounting for Model Uncertainty

Shun-Peng Zhu, Hong-Zhong Huang, Victor Ontiveros, Li-Ping He, Mohammad Modarres
2011 International journal of damage mechanics  
Downloaded from show that the uncertainty bounds using the generalized damage parameter for life prediction are tighter than that of SmithWatsonTopper and plastic strain energy density methods based on  ...  Therefore, most of Bayesian analyses are performed using Markov Chain Monte Carlo (MCMC) simulation.  ...  This methodology is demonstrated with the engineering problem of a LCF life assessment process in the sections Probabilistic LCF Life Predictions and Output Updating Using a Bayesian Inference.  ... 
doi:10.1177/1056789511429836 fatcat:7rt7o35ocrdjnbfw3imco3l22m

Reliability Analysis of Complex Systems with Failure Propagation

Changchang Che, Huawei Wang, Xiaomei Ni
2019 Defence Science Journal  
After getting the performance degradation of each fault through DBN and calculating the path weight of fault propagation by BSEM, it is available to get the overall reliability of the system.  ...  To calculate the path weight of failure propagation, the Bayesian structural equation model is proposed to study the relationship among different fault modes.  ...  Shao 8 , et al. presented a bearing performance degradation assessment method based on HMM and nuisance attribute projection (NAP).  ... 
doi:10.14429/dsj.69.12145 fatcat:ketageqr5nek7hvg2nuztdnaz4

Weighted Fuzzy Risk Priority Number Evaluation of Turbine and Compressor Blades Considering Failure Mode Correlations

Luping Gan, Yan-Feng Li, Shun-Peng Zhu, Yuan-Jian Yang, Hong-Zhong Huang
2014 International journal of turbo & jet-engines  
The result provides some important insights on fatigue reliability analysis and risk priority assessment of struc tural system under failure correlations.  ...  Finally, a basic fatigue analysis case drawn from turbine and com pressor blades in aeroengine is used to demonstrate the effectiveness and robustness of the presented method.  ...  At present, reliability assessment in FMECA for an aeroengine is basically carried out for nonrepairable components.  ... 
doi:10.1515/tjj-2013-0038 fatcat:z46c2pjq2zegdiyzdurfyp22je

Table of Contents

2021 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)  
Estimation of Aeroengine Based on SANN [570279] Gao Chen, Huang Xianghua, Ji Runmin and Zhang Yan Research on Prediction of Turbine Mechanical Performance Degradation Based on Attention LSTM [570286  ...  Health State Assessment for Complex equipment [570287]HuiminDeng, Bo Li, Minmin Liu and Tao Hong Fault Diagnosis of Aeroengine Ball Bearing Skid Based on Adaptive Threshold [570398] Xindi Wang, Bin  ... 
doi:10.1109/phm-nanjing52125.2021.9612743 fatcat:5wsvymyibvahpek6tpeqib2eki

A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning

Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang
2018 Journal of Control Science and Engineering  
For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process  ...  of the reliability of complex systems and improvement.  ...  In [13] , the degradation of aeroengine was modeled based on multistage Wiener process.  ... 
doi:10.1155/2018/9473526 fatcat:aglo24zjzvgffp2qaez7d6unra
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