Operational anomalies identification of the turbo blowers using statistical analysis of the experimental data

In this paper is presented a method for anomalies identification that may occur in equipments operation because of the large variations, above the limits, of the process parameters. The method is developed by using statistical approach and visualization tools of the processed data. The scientific visual method is generally used to control, monitor and improve processes by removing special cause variation. The statistical process control (SPC) has an advantage over other methods, because it can be applied to any process with its emphasis on early detection and prevention of problems. The objective for this paper is to present the technique used to control and monitor the Turbo Blower equipment, from steel industry. The purpose of statistical analysis is to ensure that all processes function as accurately as possible within the tolerance limits.

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A Statistical Approach to Improve Wafer Fabrication Yield

Electronic and Photonic Packaging, Electrical Systems Design and Photonics, and Nanotechnology ◽

10.1115/imece2002-39275 ◽

2002 ◽

Author(s):

Nael Barakat ◽

Hesham Enshasy

Keyword(s):

Statistical Approach ◽

Product Yield ◽

Wafer Fabrication ◽

Statistical Process ◽

Control Approach ◽

Yield Increase ◽

Cost Cutting ◽

Knowing That ◽

The Individual ◽

Industrial Problem

In spite of the recent advancements in wafer fabrication techniques, devices are still being individually checked and modified. This is due to the fact that the general manufacturing processes involved in wafer production have their inherent inconsistencies. As a consequence, individual devices show differences in characteristics that would render a big group of them operating out of the range of the pre-set spec limits. Therefore they would require types of modifications specific to the individual device. Knowing that the resources spent on checking and eliminating out-of-spec devices before they reach the customer are very significant, the manufacturing operation becomes hardly profitable. These wafers normally carry devices in the range of a thousand or so, making a statistical approach very attractive. In this paper, an actual industrial problem in wafer fabrication to the desired specifications is presented. The problem shows in passive filters built using Surface Acoustic Wave (SAW) theory. A solution considering a statistical process control approach to the population of devices on the wafer is proposed. The results of applying this solution are realized in significant product yield increase, huge cost cutting, and automation promotion and application.

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Orthogonal contrasts: definitions and concepts

Scientia Agricola ◽

10.1590/s0103-90162004000100020 ◽

2004 ◽

Vol 61 (1) ◽

pp. 118-124 ◽

Cited By ~ 22

Author(s):

Maria Cristina Stolf Nogueira

Keyword(s):

Experimental Data ◽

Statistical Analysis ◽

Interaction Effects ◽

Degree Of Freedom ◽

Extensive Review ◽

Single Degree Of Freedom ◽

Orthogonal Contrasts ◽

Single Degree ◽

Definite Structure

The single degree of freedom of orthogonal contrasts is a useful technique for the analysis of experimental data and helpful in obtaining estimates of main, nested and interaction effects, for mean comparisons between groups of data and in obtaining specific residuals. Furthermore, the application of orthogonal contrasts is an alternative way of doing statistical analysis on data from non-conventional experiments, whithout a definite structure. To justify its application, an extensive review is made on the definitions and concepts involving contrasts.

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Statistical analysis of the sensitivity of bubble sample size during saturated nucleate boiling based on experimental data

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2018.10.012 ◽

2019 ◽

Vol 129 ◽

pp. 1295-1304 ◽

Cited By ~ 1

Author(s):

Yuan Yao ◽

Quan Zhong ◽

Gao-Fei Chen ◽

Han-Zhi Chen ◽

Mao-Qiong Gong

Keyword(s):

Experimental Data ◽

Statistical Analysis ◽

Sample Size ◽

Nucleate Boiling

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Application of descriptive statistics in analysis of experimental data

Veterinarski glasnik ◽

10.2298/vetgl0802085m ◽

2008 ◽

Vol 62 (1-2) ◽

pp. 85-95

Author(s):

Milorad Mirilovic ◽

Ivana Pejin

Keyword(s):

Experimental Data ◽

Statistical Analysis ◽

Standard Deviation ◽

Arithmetic Mean ◽

Descriptive Statistics ◽

Qualitative Investigation ◽

Scientific Methods ◽

The Subject ◽

Variation Interval ◽

Descriptive Statistical Analysis

Statistics today represent a group of scientific methods for the quantitative and qualitative investigation of variations in mass appearances. In fact, statistics present a group of methods that are used for the accumulation, analysis, presentation and interpretation of data necessary for reaching certain conclusions. Statistical analysis is divided into descriptive statistical analysis and inferential statistics. The values which represent the results of an experiment, and which are the subject of observation of a certain occurrence, are called parameters and they are divided into descriptive and numerical. All numerical parameters are divided into non-continuous and continuous. The graphic presentation of the distribution of frequencies can be by poligon or histogram. The most frequently applied descriptive statistical methods are: arithmetic mean, standard deviation, standard error of arithmetic mean, variation coefficient, and variation interval.

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ICE PROPULSION ABILITY OF VESSELS WITH NONTRADITIONAL FORM

Russian Journal of Water Transport ◽

10.37890/jwt.vi65.136 ◽

2020 ◽

pp. 143-156

Author(s):

Vasily A. Lobanov

Keyword(s):

Experimental Data ◽

Statistical Analysis ◽

Empirical Equation ◽

Main Attention ◽

Resistance Level ◽

Water Ice ◽

Ship Hulls ◽

The Impact ◽

Ice Resistance ◽

Different Thickness

In article the fact related to the significant increase in structure of the ice category fleet internal and mixed a river sea operation with non-traditional ship hulls forms is stated. With the CAE technologies use such vessels interaction nature with ice cakes and small ice cakes of different thickness and concentration in the ice channel is studied and analyzed. The main attention is paid to a research concerning the influence of different forms bulbous fore ends on change of the vessel ice resistance level. Qualitative features of such bulbous vessels contact with the water ice environment are noted. The statistical analysis concerning the obtained experimental data on the impact assessment related to constructive, dynamic and ice factors on ice propulsion ability of vessels with non-traditional forms is carried out. The quantitative forecast of such influence in the form of the multifactorial regression empirical equation is given.

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KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling

Database ◽

10.1093/database/baaa093 ◽

2020 ◽

Vol 2020 ◽

Author(s):

Hugo Mochão ◽

Pedro Barahona ◽

Rafael S Costa

Keyword(s):

Experimental Data ◽

Metabolic Networks ◽

Model Simulation ◽

Web Interface ◽

Concentration Data ◽

Web Based ◽

Share Data ◽

Visualization Tools ◽

Filter Mechanism ◽

Machine Readable

Abstract The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured formats, while also integrating associated kinetic models related to the data. In addition, it also supplies tools to simplify the construction process of ODE (Ordinary Differential Equations)-based models of metabolic networks. In this release, we present an update of KiMoSys with new data and several new features, including (i) an improved web interface, (ii) a new multi-filter mechanism, (iii) introduction of data visualization tools, (iv) the addition of downloadable data in machine-readable formats, (v) an improved data submission tool, (vi) the integration of a kinetic model simulation environment and (vii) the introduction of a unique persistent identifier system. We believe that this new version will improve its role as a valuable resource for the systems biology community. Database URL: www.kimosys.org

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Implementasi Penerapan Metode Kerja Kelompok Dalam Meningkatkan Hasil Belajar Siswa Pada Mata Pelajaran IPS Di SD Inpres Kampus IKIP Kota Makassar

JIKAP PGSD Jurnal Ilmiah Ilmu Kependidikan ◽

10.26858/jkp.v5i2.20898 ◽

2021 ◽

Vol 5 (2) ◽

pp. 369

Author(s):

Shasliani Shasliani

Keyword(s):

Statistical Analysis ◽

Social Studies ◽

Student Learning ◽

Learning Outcomes ◽

Group Work ◽

Statistical Approach ◽

Student Learning Outcomes ◽

Emotional Involvement ◽

Improving Student Learning ◽

Descriptive Statistical Analysis

This study aims, namely, 1) to determine how the method of group work in social studies subjects at SD Inpres Kampus IKIP, 2) to determine whether the technique of group work affects improving student learning outcomes in social studies topics. The research was conducted using a quantitative statistical approach. The data collection techniques used were observation, questionnaires, interviews, and documentation. The data were analyzed using descriptive statistical analysis and quantitative statistical analysis. Based on the research results, it can be seen that 1) the application of group work methods in social studies subjects at SD Inpres Kampus IKIP Makassar city is in the "good" category with indicators of fostering interest and the ability to cooperate among students, increasing socio-emotional involvement of students and increasing attention on the process and results of the learning process, 2) the application of group work methods affects improving student learning outcomes in social studies subjects at SD Inpres IKIP Kampus, Makassar city.

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Delivering More Fit-for-Purpose Wells with Low Cost Approach at Untapped Area Matured Field – Application of Cone Concept Statistical Approach

10.2523/iptc-21419-ms ◽

2021 ◽

Author(s):

M. Hatta M. Yusof ◽

M. Zarkashi Sulaiman ◽

Rahimah A. Halim ◽

Nurfaridah Ahmad Fauzi ◽

Ahgheelan Sella Thurai ◽

...

Keyword(s):

Statistical Analysis ◽

Statistical Approach ◽

Control Method ◽

Low Cost ◽

Volatile Oil ◽

Field Application ◽

Well Design ◽

Execution Phase ◽

Sand Control ◽

Fit For Purpose

Abstract This paper discusses the Case study of Field A in offshore Sarawak, Malaysia which focus on re-thinking development based on statistical analysis of the fields. Conventionally, well design is driven by subsurface requirement by targeting the high-reserve sand and well is designed to meet subsurface objectives. However, the conventional way may not be efficient to develop matured field environment due to the high CAPEX and the inconsistencies among well design especially in current volatile oil price period. The objective of this fit-for-purpose approach which is called "Cone Concept Statistical Approach" is to steer away from the conventional way of targeting only sweet spots whilst leaving the remaining potential resources undeveloped. Based on the statistical analysis and subsurface fields pattern, the "Cone Concept Statistical Approach" in which standardizing well design and trajectories was developed to extract the whole fields’ reserve at maximum. Well design boundaries were introduced to ensure this approach can be replicated throughout the field. Not only this study covers drilling perspective, completion perspective was also taken into consideration by exploring a cheaper and fit for purpose sand control method, considering it is a matured field with relatively short remaining field life. The Well Cost Catalogue for this field-specific approach was also developed which contains different types of design and completion, in order to holistically evaluate sand control method and identify the best option for the project moving forward. This "Cone Concept Statistical Approach" aims to enable operator to drill simple wells within the same allocated budget in which poses low-to-no risk in the design and execution phase. This promotes a learning curve to improve operation & HSE, and ultimately gets positive project economics. Since this simple approach can be implemented early on even during the pre-FEL stage, the FDP team & host authority can come together to jointly discuss the targets/platform ranking and segregate them into various phases. Hence, the number of platforms or drilling centers, and its location also can be optimized early on with this concept, and again, translating into further reduction in overall project cost. This paper will help other operators and host authority to understand better on how a specific development concept on statistical approach can result and turn the matured-challenging fields into more economically attractive projects – low overall development cost and maximizing the recovery.

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