a hybrid prognostics approach for estimating
ProjectManagement
Dec 08 2018This hybrid estimation technique of a project's costs and duration begins with a top-down approach and then progressively improves the estimates for the project phases as they are implemented Some projects by their nature cannot be thoroughly defined because of the uncertainty of product designs and configurations due to market volatility of supply and demand
A hybrid prognostics approach for MEMS: From real
A hybrid prognostics approach for MEMS: From real measurements to remaining useful life estimation Autores: H Skima K Medjaher C Varnier E Dedu J Bourgeois Localizacin: Microelectronics reliability ISSN 0026-2714 N 65 2016 pgs 79-88 Idioma: ingls Resumen Abstract This paper presents a hybrid prognostics approach for Micro Electro Mechanical Systems (MEMS)
[PDF] Deep Convolutional Neural Network Based Regression
A novel deep Convolutional Neural Network (CNN) based regression approach for estimating the RUL is proposed in this paper Although CNN has been applied on tasks such as computer vision natural language processing speech recognition etc this is the first attempt to adopt CNN for RUL estimation in prognostics
Hybrid prognostic method applied to mechatronic systems
This is what is done by fault prognostics This latter activity aims at estimating the remaining useful life of systems by using three main approaches: data-driven prognostics model-based prognostics and hybrid prognostics In this paper a hybrid prognostic method is proposed and applied on a mechatronic system
Data
Research Article Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management Kailong Liu 1 Kang Li 2 Qiao Peng 3 Yuanjun Guo 4 and Li Zhang5 1School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast BT9 5AH UK 2School of Electronic and Electric Engineering University of Leeds Leeds LS2 9JT UK
XJTU
Biao Wang Yaguo Lei Naipeng Li Ningbo Li "A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings" IEEE Transactions on Reliability vol 69 no 1 pp 401-412 2020 DOI: 10 1109/TR 2018 2882682 XJTU-SY bearing datasets can be downloaded by one of the following links: ⇔ My Website:
[PDF] A hybrid prognostics methodology for electronic
A unique hybrid prognostics and health management methodology combining both data-driven and physics-of-failure models is proposed for fault diagnosis and life prediction The shortcomings of using data-driven and physics-of-failure methodologies independently are discussed These approaches estimate future system health based on a
Particle Filter Based Prognostics of PEM Fuel Cell Under
employment of either model based prognostics[6] or hybrid prognostics[5 9] Hybrid prognostics integrate the advantages of model based and learning techniques wherein behavioural models or statistical based Degradation Models (DMs) are used for State of Health (SOH) estimation The measured information is used to update the SOH
Ensemble trees learning based improved predictive
Data-driven hybrid remaining useful life estimation approach for spacecraft lithium-ion battery Microelectronics Reliability 75 (2017) 142--153 Google Scholar Cross Ref Pingfeng Wang Byeng D Youn and Chao Hu 2012 A generic probabilistic framework for structural health prognostics and uncertainty management
Journal Papers
Research on Prognostics and Health Management H Liu J Kim IL Y and Mechefske C K (2018) Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines and Ma F (2011) A regularized auxiliary particle filtering approach for system state estimation and battery life prediction Smart Materials and
A New Adaptive Prognostics Approach Based on Hybrid
This paper proposes a new adaptive prognostics approach consisting of hybrid feature selection and remaining-useful-life (RUL) estimation steps for railway point machines In step-1 different time-domain based features are extracted and the best ones are selected by the hybrid feature selection method
Lithium
RUL can be estimated by using three main approaches namely model-based data-driven and hybrid approaches The prognostics methods used later in this paper are hybrid and data-driven approaches which employ the Particle Filter in the first one and the autoregressive integrated moving average in
A hybrid prognostics approach for MEMS: From real
This paper presents a hybrid prognostics approach for Micro Electro-Mechanical Systems (MEMS) This approach relies on two phases: an offline phase for the MEMS and its degradation modeling and an online phase where the obtained degradation model is used with the available data for prognostics In the online phase the particle filter algorithm is used to perform online parameters estimation
[PDF] A hybrid prognostics methodology for electronic
A unique hybrid prognostics and health management methodology combining both data-driven and physics-of-failure models is proposed for fault diagnosis and life prediction The shortcomings of using data-driven and physics-of-failure methodologies independently are discussed These approaches estimate future system health based on a
A review on prognostics approaches for remaining useful
Nov 09 2017In recent years performance degradation prognostics and RUL estimation approaches have become a focus of the research concerning with Li-ion battery This paper summarizes the approaches used in Li-ion battery RUL estimation Three categories are classified accordingly i e model-based approach data-based approach and hybrid approach
Hybrid Models for Rotating Machinery Prognosis:Estimate
prognostics can yield a better predictive results than individual methods Expected Contributions •The main contribution of the fusion prognostics techniques is to compensate the weaknesses of individual techniques with other techniques •By improve the accuracy and precision of the remaining useful life estimation of different
Wind turbine prognostics and maintenance management based
Wind turbine prognostics and maintenance management based on a hybrid approach of neural networks and proportional hazards model P Mazidi L Bertling Tjemberg M A Sanz-Bobi This paper proposes an approach for stress condition monitoring and maintenance assessment in wind turbines (WT) through large amounts of collected data from supervisory control and data acquisition (SCADA)
NASA
We call this a hybrid model To maintain an uncertain state estimate over the states of such a model we use an approach known as Bayesian belief updating At a high level the idea is to maintain a probability distribution that represents our belief about the state of the system given all the telemetry seen so far and update that
PRINCIPLE OF DUALITY ON PROGNOSTICS
approach applies to applications that havecomplicated system architecture i e systems that incur high amount of cost when developing an accurate prognostic model So by adopting this approach to deal with complex systems will lead the prognostics of a system to be much faster and cheaper to set up as compared to other approaches
1546 A hybrid prognostics approach to estimate the
1546 A hybrid prognostics approach to estimate the residual useful life of a planetary gearbox with a local defect Zhe Cheng Science and Technology on Integrated Logistics Support Laboratory National University of Defense Technology Changsha P R China E-mail: chengzhenudt edu cn
[PDF] Deep Convolutional Neural Network Based Regression
A novel deep Convolutional Neural Network (CNN) based regression approach for estimating the RUL is proposed in this paper Although CNN has been applied on tasks such as computer vision natural language processing speech recognition etc this is the first attempt to adopt CNN for RUL estimation in prognostics
Understanding Empirical Prognostic Requirements Planning
Hybrid Prognostics Approach • Historical failure data will be used to estimate the population POF • Covariates (e g speeds currents pressures vibration etc ) or covariate residuals with the use of empirical models will be used to develop a degradation parameter and used to augment population POF to provide individual POF
Modeling for Prognostics and Health Management: Methods
Prognostics is often characterized by estimating the remaining useful life (RUL) of a system using available CM information Once such prognosis is available appropriate health management actions such as repair replacement and logistic support can be performed to achieve the required system's operational objectives
A hybrid prognostics approach for MEMS: From real
A hybrid prognostics approach for MEMS: From real measurements to remaining useful life estimation Autores: H Skima K Medjaher C Varnier E Dedu J Bourgeois Localizacin: Microelectronics reliability ISSN 0026-2714 N 65 2016 pgs 79-88 Idioma: ingls Resumen Abstract This paper presents a hybrid prognostics approach for Micro Electro Mechanical Systems (MEMS)
Modeling for Prognostics and Health Management: Methods
Prognostics is often characterized by estimating the remaining useful life (RUL) of a system using available CM information Once such prognosis is available appropriate health management actions such as repair replacement and logistic support can be performed to achieve the required system's operational objectives







