Analysis of the influencing factors of external wall ceramic claddings' service life using regression techniques

2018 ◽  
Vol 83 ◽  
pp. 141-155 ◽  
Author(s):  
Jéssica Souza ◽  
Ana Silva ◽  
Jorge de Brito ◽  
Elton Bauer
Keyword(s):  
Service Life ◽  
Influencing Factors ◽  
External Wall ◽  
Regression Techniques ◽  
Wall Ceramic

scholarly journals Construction Treatment Technology for Cracks in Asphalt Pavement of Road and Bridge

2020 ◽  
Vol 198 ◽  
pp. 03013
Author(s):  
Yueshu Li
Keyword(s):  
Service Life ◽  
Influencing Factors ◽  
Road Traffic ◽  
Asphalt Pavement ◽  
Construction Technology ◽  
Treatment Technology ◽  
The Common

In recent years, with the development of road traffic in China, road and bridge projects have gradually increased. While the number of projects has increased sharply, construction technology has been greatly improved. The increase in the use of roads and bridges has led to an increase in the probability of cracks on the roads and bridges. Starting from the common types of cracks, this article explains how to effectively ensure the service life of roads and bridges, improve the performance of roads and bridges, avoid road cracks, deal with the cracks, and emphasize the influencing factors of cracks and the corresponding solutions for the reference of relevant personnel.

scholarly journals Improvement of product drafting process in drafting devices of the spinning machines with the application of straps

2021 ◽  
Vol 2094 (4) ◽  
pp. 042079
Author(s):  
Rashit Nurboev ◽  
Murkosim Khudayberdiev Anvar Abdullaev ◽  
Okhun Sharofov ◽  
Olima Aripova
Keyword(s):  
Mechanical Properties ◽  
Service Life ◽  
Thin Layer ◽  
Influencing Factors ◽  
Cotton Fabrics ◽  
Thin Metal ◽  
Strength Characteristics ◽  
Design Parameters ◽  
Geometrical Parameters ◽  
Frame Element

Abstract This paper covers the analysis of operation drafting devices of the spinning machines, the technological requirements for the processes of product straightening, product drafting, straightening and parallelization of fibers and the basic theoretical prerequisites. The main geometrical parameters of design of drafting pairs, their interaction, influencing factors as the process of yarn formation after drafting, with the use of straps, are considered. Analysis of the operation of the existing design of drafting devices of technological machines of spinning production has the following disadvantages: low reliability and service life of rubber straps, insufficient strength characteristics and elastic-mechanical properties of the frame element made of technical cotton fabrics. It is necessary to select a pair of straps that meets all the requirements of conditional operation of a pair of straps as a frame element for the upper and lower straps made of thin-layer metal fabric made of metal thread, make adjustments to additional calculations of the design parameters of the drafting devices, taking into account the straps made with a thin metal fabric base.

Artificial Neural Networks Based Wear Prediction for Pneumatic Drives Seals

2010 ◽  
Author(s):  
Sorin Ciortan ◽  
Geanina Podaru ◽  
Iulian Gabriel Birsan ◽  
Constantin Spanu
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Service Life ◽  
Influencing Factors ◽  
Thermal Regime ◽  
Wear Prediction ◽  
Non Linear ◽  
Lip Seals ◽  
Artificial Neural

Sealing systems used for non-metallic rod pneumatic drives have hard duty conditions, including the absence of any kind of lubricant and non-linear thermal regime. Due to this, the wear evolution of the lip -rod pair can be difficult to be estimated. The paper propose an ANN based method for wear prediction during service life of the lip seals, taking into account some seals’ working behavior influencing factors.

Fault data screening and failure rate prediction framework-based bathtub curve on industrial robots

2020 ◽  
Vol 47 (6) ◽  
pp. 867-880
Author(s):  
Bin Bai ◽  
Ze Li ◽  
Qiliang Wu ◽  
Ce Zhou ◽  
Junyi Zhang
Keyword(s):  
Service Life ◽  
Influencing Factors ◽  
Failure Rate ◽  
Industrial Robot ◽  
Spare Parts ◽  
Industrial Robots ◽  
Maintenance Strategy ◽  
Content Type ◽  
Mechanical Products ◽  
Data Screening

Purpose This study aims to obtained the failure probability distributions of subsystems for industrial robot and filtrate its fault data considering the complicated influencing factors of failure rate for industrial robot and numerous epistemic uncertainties. Design Methodology Approach A fault data screening method and failure rate prediction framework are proposed to investigate industrial robot. First, the failure rate model of the industrial robot with different subsystems is established and then the surrogate model is used to fit bathtub curve of the original industrial robot to obtain the early fault time point. Furthermore, the distribution parameters of the original industrial robot are solved by maximum-likelihood function. Second, the influencing factors of the new industrial robot are quantified, and the epistemic uncertainties are refined using interval analytic hierarchy process method to obtain the correction coefficient of the failure rate. Findings The failure rate and mean time between failure (MTBF) of predicted new industrial robot are obtained, and the MTBF of predicted new industrial robot is improved compared with that of the original industrial robot. Research Limitations Implications Failure data of industrial robots is the basis of this prediction method, but it cannot be used for new or similar products, which is the limitation of this method. At the same time, based on the series characteristics of the industrial robot, it is not suitable for parallel or series-parallel systems. Practical Implications This investigation has important guiding significance to maintenance strategy and spare parts quantity of industrial robot. In addition, this study is of great help to engineers and of great significance to increase the service life and reliability of industrial robots. Social Implications This investigation can improve MTBF and extend the service life of industrial robots; furthermore, this method can be applied to predict other mechanical products. Originality Value This method can complete the process of fitting, screening and refitting the fault data of the industrial robot, which provides a theoretic basis for reliability growth of the predicted new industrial robot. This investigation has significance to maintenance strategy and spare parts quantity of the industrial robot. Moreover, this method can also be applied to the prediction of other mechanical products.

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