• 제목/요약/키워드: process mining

검색결과 1,054건 처리시간 0.028초

Study on the distribution law of stress deviator below the floor of a goaf

  • Li, Zhaolong;Shan, Renliang;Wang, Chunhe;Yuan, Honghu;Wei, Yonghui
    • Geomechanics and Engineering
    • /
    • 제21권3호
    • /
    • pp.301-313
    • /
    • 2020
  • In the process of mining closely spaced coal seams, the problem of roadway arrangement in lower coal seams has long been a concern. By means of mechanical model calculation and numerical simulation postprocessing, the distribution of the stress deviator below the floor of a goaf and the evolution of the stress deviator in the vertical and horizontal directions are studied under the influence of horizontal stress. The results of this theoretical study and numerical simulation show that the stress deviator decreases exponentially with increasing depth from the floor below the coal side. With the increase in the horizontal stress coefficient λ, the stress deviator concentration area shifts. The stress deviator is concentrated within 10 m below the goaf and 15 m laterally from the coal side; thus, the magnitude of the surrounding rock stress deviator should be considered when planning the construction of a roadway in this area.

Microstructure-Properties Relationships of Ti-6Al-4V Parts Fabricated by Selective Laser Melting

  • Mezzetta, Justin;Choi, Joon-Phil;Milligan, Jason;Danovitch, Jason;Chekir, Nejib;Bois-Brochu, Alexandre;Zhao, Yaoyao Fiona;Brochu, Mathieu
    • International Journal of Precision Engineering and Manufacturing-Green Technology
    • /
    • 제5권5호
    • /
    • pp.605-612
    • /
    • 2018
  • This work investigates the relationships between the static mechanical properties of Ti-6Al-4V manufactured through selective laser melting (SLM) and post-process heat treatments, namely stress relieve, annealing and hot isostatic pressing (HIP). In particular, Ti-6Al-4V parts were fabricated in three different build orientations of X, Z, and $45^{\circ}$ to investigate the multi-directional mechanical properties. The results showed that fully densified Ti-6Al-4V parts with densities of up to 99.5% were obtained with optimized SLM parameters. The microstructure of stress relieved and mill annealed samples was dominated by fine ${\alpha}^{\prime}$ martensitic needles. After HIP treatment, the martensite structure was fully transformed into ${\alpha}$ and ${\beta}$ phases (${\alpha}+{\beta}$ lamellar). Within the realm of tensile properties, the yield and ultimate strength values were found statistically similar with respect to the built orientation for a given heat treatment. However, the ductility was found orientation dependent for the HIP samples, where a lower value was observed for samples built in the X direction.

Data Mining for Uncertain Data Based on Difference Degree of Concept Lattice

  • Qian Wang;Shi Dong;Hamad Naeem
    • Journal of Information Processing Systems
    • /
    • 제20권3호
    • /
    • pp.317-327
    • /
    • 2024
  • Along with the rapid development of the database technology, as well as the widespread application of the database management systems are more and more large. Now the data mining technology has already been applied in scientific research, financial investment, market marketing, insurance and medical health and so on, and obtains widespread application. We discuss data mining technology and analyze the questions of it. Therefore, the research in a new data mining method has important significance. Some literatures did not consider the differences between attributes, leading to redundancy when constructing concept lattices. The paper proposes a new method of uncertain data mining based on the concept lattice of connotation difference degree (c_diff). The method defines the two rules. The construction of a concept lattice can be accelerated by excluding attributes with poor discriminative power from the process. There is also a new technique of calculating c_diff, which does not scan the full database on each layer, therefore reducing the number of database scans. The experimental outcomes present that the proposed method can save considerable time and improve the accuracy of the data mining compared with U-Apriori algorithm.

Regularity and coupling correlation between acoustic emission and electromagnetic radiation during rock heating process

  • Kong, Biao;Wang, Enyuan;Li, Zenghua
    • Geomechanics and Engineering
    • /
    • 제15권5호
    • /
    • pp.1125-1133
    • /
    • 2018
  • Real-time characterization of the rock thermal deformation and fracture process provides guidance for detecting and evaluating thermal stability of rocks. In this paper, time -frequency characteristics of acoustic emission (AE) and electromagnetic radiation (EMR) signals were studied by conducting experiments during rock continuous heating. The coupling correlation between AE and EMR during rock thermal deformation and failure was analyzed, and the microcosmic mechanism of AE and EMR was theoretically analyzed. During rock continuous heating process, rocks simultaneously produce significant AE and EMR signals. These AE and EMR signals are, however, not completely synchronized, with the AE signals showing obvious fluctuation and the EMR signals increasing gradually. The sliding friction between the cracks is the main mechanism of EMR during the rock thermal deformation and fracture, and the AE is produced while the thermal cracks expanding. Both the EMR and AE monitoring methods can be applied to evaluate the thermal stability of rock in underground mines, although the mechanisms by which these signals generated are different.

프로세스 마이닝을 이용한 웹 사이트의 이용 패턴 분석 및 그룹 간 비교 분석 (Usage Pattern Analysis and Comparative Analysis among User Groups of Web Sites Using Process Mining Techniques)

  • 김슬기;정재윤
    • 한국빅데이터학회지
    • /
    • 제2권2호
    • /
    • pp.105-114
    • /
    • 2017
  • 오늘날 많은 서비스 지원이 웹 사이트를 통해 제공되고 있다. 웹 사이트의 이용 및 효율성을 최적화하기 위하여 방문자들의 이용 패턴 분석이 매우 중요하다. 본 연구에서는 BPI Challenge 2016에서 제공하는 웹 사이트 접속 로그를 분석하여 이용 패턴 분석 및 이용자 그룹별 비교 분석 연구를 수행하였다. 이 데이터는 네덜란드 고용보험사(UWV)의 IT 시스템의 웹 사이트 접속 로그를 제공하며, 고객의 인적 정보, 해당 기관의 웹 사이트를 사용할 때의 고객 행동을 설명하는 클릭 데이터 등의 대한 정보를 포함하고 있다. 본 연구에서는 프로세스 마이닝 기법을 이용하여 사용 고객의 사용 패턴과 고객 그룹 간 특징을 분석하여, 궁극적으로 웹 서비스를 이용하는 고객들을 대상으로 서비스 품질을 향상시키고자 한다.

  • PDF

특허권리성의 정량적 평가방법에 대한 연구 : AHP, 텍스트 마이닝, 회귀분석의 활용 (Quantifying the Process of Patent Right Quality Evaluation : Combined Application of AHP, Text Mining and Regression Analysis)

  • 윤장혁;송재국;류태규
    • 산업경영시스템학회지
    • /
    • 제38권2호
    • /
    • pp.17-30
    • /
    • 2015
  • Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

Robustness of Data Mining Tools under Varting Levels of Noise:Case Study in Predicting a Chaotic Process

  • Kim, Steven H.;Lee, Churl-Min;Oh, Heung-Sik
    • 한국경영과학회지
    • /
    • 제23권1호
    • /
    • pp.109-141
    • /
    • 1998
  • Many processes in the industrial realm exhibit sstochastic and nonlinear behavior. Consequently, an intelligent system must be able to nonlinear production processes as well as probabilistic phenomena. In order for a knowledge based system to control a manufacturing processes as well as probabilistic phenomena. In order for a knowledge based system to control manufacturing process, an important capability is that of prediction : forecasting the future trajectory of a process as well as the consequences of the control action. This paper examines the robustness of data mining tools under varying levels of noise while predicting nonlinear processes, includinb chaotic behavior. The evaluated models include the perceptron neural network using backpropagation (BPN), the recurrent neural network (RNN) and case based reasoning (CBR). The concepts are crystallized through a case study in predicting a chaotic process in the presence of various patterns of noise.

  • PDF

Study on correlation of acoustic emission and plastic strain based on coal-rock damage theory

  • Jin, Peijian;Wang, Enyuan;Song, Dazhao
    • Geomechanics and Engineering
    • /
    • 제12권4호
    • /
    • pp.627-637
    • /
    • 2017
  • The high positive correlation between plastic strain of loaded coal-rock and AE (acoustic emission) characteristic parameter was studied and proved through AE experiment during coal-rock uniaxial compression process. The results show that plastic strain in the whole process of uniaxial compression can be gained through the experiment. Moreover, coal-rock loaded process can be divided into four phases through analyzing the change of the plastic strain curve : pressure consolidation phase, apparent linear elastic phase, accelerated deformation phase, rupture and development phase, which corresponds to conventional elastic-plastic change law of loaded coal-rock. The theoretical curve of damage constitutive model is in high agreement with the experimental curve. So the damage evolution law of coal rock damage can be indicated by both acoustic emission and plastic strain. The results have great academic and realistic significance for further study of both AE signal characteristics during loaded coal-rock damaged process and the forecasting of coal-rock dynamic disasters.

Intelligent Fault Diagnosis System for Enhancing Reliability of Coil-Spring Manufacturing Process

  • 허준;백준걸;이홍철
    • 대한안전경영과학회지
    • /
    • 제6권3호
    • /
    • pp.237-247
    • /
    • 2004
  • The condition of the manufacturing process in a factory should be diagnosed and maintained efficiently because any unexpected disorder in the process will be reason to decrease the efficiency of the overall system. However, if an expert experienced in this system leaves, there will be a problem for the efficient process diagnosis and maintenance, because disorder diagnosis within the process is normally dependent on the expert's experience. This paper suggests a process diagnosis using data mining based on the collected data from the coil-spring manufacturing process. The rules are generated for the relations between the attributes of the process and the output class of the product using a decision tree after selecting the effective attributes. Using the generated rules from decision tree, the condition of the current process is diagnosed and the possible maintenance actions are identified to correct any abnormal condition. Then, the appropriate maintenance action is recommended using the decision network.

Numerical study on mechanical and failure properties of sandstone based on the power-law distribution of pre-crack length

  • Shi, Hao;Song, Lei;Zhang, Houquan;Xue, Keke;Yuan, Guotao;Wang, Zhenshuo;Wang, Guozhu
    • Geomechanics and Engineering
    • /
    • 제19권5호
    • /
    • pp.421-434
    • /
    • 2019
  • It is of great significance to study the mechanical properties and failure mechanism of the defected rock for geological engineering. The defected sandstone modeling with power-law distribution of pre-cracks was built in this paper by Particle Flow Code software. Then the mechanical properties of sandstone and the corresponding failure process were meticulously analyzed by changing the power-law index (PLI) and the number of pre-cracks (NPC). The results show that (1) With the increase of the PLI, the proportion of prefabricated long cracks gradually decreases. (2) When the NPC is the same, the uniaxial compressive strength (UCS) of sandstone increases with the PLI; while when the PLI is the same, the UCS decreases with the NPC. (3) The damage model of rock strength is established based on the Mori-Tanaka method, which can be used to better describe the strength evolution of damaged rock. (4) The failure mode of the specimen is closely related to the total length of the pre-crack. As the total length of the pre-crack increases, the failure intensity of the specimen gradually becomes weaker. In addition, for the specimens with the total pre-crack length between 0.2-0.55 m, significant lateral expansion occurred during their failure process. (5) For the specimens with smaller PLI in the pre-peak loading process, the concentration of the force field inside is more serious than that of the specimens with larger PLI.