scholarly journals Experimental verification and validation of the SICN-oriented process mining algorithm and system

Author(s):  
Kyoung-Sook Kim ◽  
Dinh-Lam Pham ◽  
Young-In Park ◽  
Kwanghoon Pio Kim
2019 ◽  
Vol 18 (5-6) ◽  
pp. 1789-1802 ◽  
Author(s):  
Subir Patra ◽  
Hossain Ahmed ◽  
Mohammadsadegh Saadatzi ◽  
Sourav Banerjee

In this article, experimental verification and validation of a peridynamics-based simulation technique, called peri-elastodynamics, are presented while simulating the guided Lamb wave propagation and wave–damage interaction for ultrasonic nondestructive evaluation and structural health monitoring applications. Peri-elastodynamics is a recently developed elastodynamic computation tool where material particles are assumed to interact with the neighboring particles nonlocally, distributed within an influence zone. First, in this article, peri-elastodynamics was used to simulate the Lamb wave modes and their interactions with the damages in a three-dimensional plate-like structure, while the accuracy and the efficacy of the method were verified using the finite element simulation method (FEM). Next, the peri-elastodynamics results were validated with the experimental results, which showed that the newly developed method is more accurate and computationally cheaper than the FEM to be used for computational nondestructive evaluation and structural health monitoring. Specifically, in this work, peri-elastodynamics was used to accurately simulate the in-plane and out-of-plane symmetric and anti-symmetric guided Lamb wave modes in a pristine plate and was extended to investigate the wave–damage interaction with damage (e.g. a crack) in the plate. Experiments were designed keeping all the simulation parameters consistent. The accuracy of the proposed technique is confirmed by performing error analysis on symmetric and anti-symmetric Lamb wave modes compared to the experimental results for pristine and damaged plates.


2014 ◽  
Vol 989-994 ◽  
pp. 1918-1923
Author(s):  
Hong Li ◽  
Yu Wei ◽  
Xiao Hu Ye ◽  
Shao Wen Yao ◽  
Jun Yang

Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. The business process system log often has a large number of the namesake task and repetitive task. The existing alpha algorithm of the mining algorithm cannot distinguish them very well. It leads to the results that the process mining often produce inaccurate flow model. In order to improve the accuracy of the process mining, the paper puts forward an improved method. The new method not only can dig the complex structure, such as circulation structure, free choice structure and so on, it still can dig the eponymous task and repeat task in the log.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 48756-48764 ◽  
Author(s):  
Weimin Li ◽  
Heng Zhu ◽  
Wei Liu ◽  
Dehua Chen ◽  
Jiulei Jiang ◽  
...  

2009 ◽  
Vol 28 (12) ◽  
pp. 3235-3239 ◽  
Author(s):  
Hong-mei HUANG ◽  
Yun ZHANG

2021 ◽  
Vol 542 ◽  
pp. 453-475
Author(s):  
HongWei Sun ◽  
Wei Liu ◽  
Liang Qi ◽  
YuYue Du ◽  
Xiaojun Ren ◽  
...  

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