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Integrated Equipment Health Prognosis Considering Crack Initiation Time Uncertainty and Random Shock

Chinese Journal of Mechanical Engineering 2017年第6期30卷 1383-1395页

作者： Fu-Qiong Zhao Ming-Jiang Xie Zhi-Gang Tian Yong Zeng Department of Mechanical Engineering University of Alberta Edmonton T6G 2G8 Canada Concordia Institute for Information Systems Engineering Concordia University Montreal H3G 2Wl Canada

With integrated equipment health prognosis, both physical models and condition monitoring data are utilized to achieve more accurate prediction of equipment remaining useful life （RUL）. In this paper, an integrated prognostics method is proposed to account for two important factors which were not considered before, the uncertainty in crack initiation time （CIT） and the shock in the degradation. Prognostics tools are used for RUL pre- diction starting from the CIT. However, there is uncertainty in CIT due to the limited capability of existing fault detection tools, and such uncertainty has not been explic- itly considered in the literature for integrated prognosis. A shock causes a sudden damage increase and creates a jump in the degradation path, which shortens the total lifetime, and it has not been considered before in the integrated prognostics framework either. In the proposed integrated prognostics method, CIT is considered as an uncertain parameter, which is updated using condition monitoring data. To deal with the sudden damage increase and reduction of total lifetime, a virtual gradual degradation path with an earlier CIT is introduced in the proposed method. In this way, the effect of shock is captured through identifying an appropriate CIT. Examples of gear prog- nostics are given to demonstrate the effectiveness of the proposed method.

关键词： Crack initiation time Shock uncertaintyquantification Integrated prognostics Failure timeprediction Bayesian inference Gears Fatigue crack

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Hybrid Optimization of a Valveless Diaphragm Micropump Using the Cut-Cell Method

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Journal of Mechanics Engineering and Automation 2019年第4期9卷 120-127页

作者： kapsoulis K.Samouchos X.Trompoukis K.Giannakoglou Parallel CFD&Optimization Unit School Mech.Eng.National Technical University of AthensAthens 15780Greece

This paper presents the optimization of 3D valveless diaphragm micropump for medical *** pump comprises an inlet and outlet diffuser connected to the main chamber equipped with a periodically moving diaphragm that generates the unsteady flow within the *** optimization,which is related exclusively to the diaphragm motion,aims at maximizing the net flowrate and minimizing the backflow at the outlet *** CFD analyses are performed using an in-house cut-cell method,based on the finite volume approach,on a many-processor *** reduce the optimization turn-around time,two optimization methods,a gradient-free evolutionary algorithm enhanced by surrogate evaluation models and a gradient-based(GB)method are synergistically *** support the GB optimization,the continuous adjoint method that computes the gradient of the objectives with respect to the design variables has been developed and *** the hybrid optimization method,the Pareto front of non-dominated solutions,in the two-objective space,is ***,a couple of optimal solutions selected from the computed Pareto front are re-evaluated by considering uncertainties in the operating conditions;these are quantified using the polynomial chaos expansion method.

关键词： Diaphragm micropump cut-cell method hybrid optimization adjoint method evolutionary algorithm uncertaintyquantification

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