Computer-aided analysis of reliability and preventive maintenance optimization of radio communication equipment based on multivariate Monte Carlo simulation

2017 ◽  
Author(s):  
Alexander Lyubchenko ◽  
Alexander Shiler ◽  
Evgeny Y. Kopytov ◽  
Vasilii A. Maystrenko
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Preventive Maintenance ◽  
Maintenance Optimization ◽  
Radio Communication ◽  
Computer Aided Analysis ◽  
Computer Aided ◽  
Communication Equipment

Assembly design in aeronautic field: From assembly jigs to tolerance analysis

2016 ◽  
Vol 231 (14) ◽  
pp. 2652-2663 ◽  
Author(s):  
Andrea Corrado ◽  
Wilma Polini
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Tolerance Analysis ◽  
The Other ◽  
Free Form ◽  
Control Points ◽  
Assembly Design ◽  
The Past ◽  
Computer Aided ◽  
Free Form Surfaces

Tolerance analysis represents the best way to solve assembly problems in order to improve the quality and to reduce the costs. It is a critical step to design and to build a product such as an aircraft and its importance is grown up in the past years. This work presents a method for the tolerance analysis of an assembly involving free-form surfaces with large dimensions. The assembly is a tail beam, a structural component of an aircraft that is constituted by five parts of large dimensions. The influence of the tolerances applied to the five components of the tail beam on the value of the gap at the interfaces among the parts has been deeply investigated. A set of control points have been distributed on the free-form surfaces of the tail beam; its number and its distribution have been opportunely designed. Moreover, the influence of the tolerances on the other requirements of the tail beam connected with the motion drive has been studied. Tolerance analysis has involved the choice of the assembly tools and sequence too. The assembly jigs are mated with the assembly components through pins that are inserted into tooling holes located on the assembly components. The fit conditions have been modeled and the tolerances of the tooling hole have been opportunely chosen. Each tolerance of the tail beam components has been modeled by means of a probability density function. Monte Carlo approach has been used to obtain the statistical distribution of the assembly requirements, once dimensions and geometry of the tail beam components have been perturbed inside the tolerance ranges. Monte Carlo simulation has been carried out by a well-known computer-aided tolerance software, eM-Tolmate of UGS®.

Tolerance Analysis with EDS/VisVSA

2003 ◽  
Vol 3 (1) ◽  
pp. 95-99 ◽  
Author(s):  
Zhengshu Shen
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
State Of The Art ◽  
Tolerance Analysis ◽  
Statistical Distributions ◽  
Tolerance Range ◽  
Computer Aided ◽  
Cad Models ◽  
Analysis System ◽  
Part Dimension

This paper presents a brief review of a leading commercial computer-aided tolerance (CAT) analysis system, VisVSA, which is available from EDS/Unigraphics. VisVSA facilitates statistical analysis of dimensional variations in parts and assemblies, based on Monte Carlo simulation. Tolerance specific entities and attributes are interactively extracted from CAD models. Feature attributes are varied within the specified tolerance range, and user-defined statistical distributions are used in simulation runs to determine the contributors, the extent of contributions, sensitivities, and statistical distribution of the analyzed part dimension or assembly clearance/interference. VisVSA represents the state-of-the-art in tolerance analysis, but the technology itself needs further advancement.

Condition-Based Maintenance Policy under Imperfect Inspection Using Monte-Carlo Simulation

2012 ◽  
Vol 201-202 ◽  
pp. 955-958
Author(s):  
En Shun Ge ◽  
Qing Min Li ◽  
Guang Yu Zhang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Preventive Maintenance ◽  
Condition Based Maintenance ◽  
Gamma Process ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Numerical Example ◽  
Long Run

Condition-based Maintenance (CBM), which can efficiently improve the performance of the deteriorating system, would be influenced by imperfect inspection in practice. Aiming at this problem, a new CBM model under imperfect inspection is presented for deteriorating system, which described by Gamma process. The system is inspected periodically, and a preventive maintenance is performed if the degradation level exceeds a threhold. The inspection is imperfect, that means the measurements contain errors, and the CBM model should take these measure errors into account. The algorithm is shown to estimate the long run cost rate using Monte-Carlo method. Through numerical example, the influence of mesurement error over long run cost is analyzed. Therefore, the correctness and rationality of the model are proved.

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