Ergebnisse für: Process data
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This handbook presents original computer-generated reference data describing the thermodynamic properties of high-temperature processes. Included are the reduction of chlorides and oxides, pyrolysis and conversion of hydrocarbons, production of nitrides, carbides, oxides and other compounds. Process...
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While Artificial Intelligence (AI) methods are already present in many consumer applications, they are currently less used and accepted in the process industry and in the field of engineering. At the same time, the availability of digital engineering data is increasing due to the increasing digitiza...
This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization...
Empirical process techniques for independent data have been used
for many years in statistics and probability theory. These techniques
have proved very useful for studying asymptotic properties of
parametric as well as non-parametric statistical procedures. Recently,
the need to model the depend...
The book supplements Guidelines for Chemical Process Quantitative Risk Analysis by providing the failure rate data needed to perform a chemical process quantitative risk analysis....
Digitalization is accelerating catalysis research, which is an interdisciplinary field, producing diverse and complex data. The FAIR guidelines address the need to improve the data quality and thus the data value chain. To achieve this, data must not only be stored in a structured manner but the fou...
This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013.The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given ...
This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, held in Seville, Spain, on December 13–14, 2018, and SIMPDA 2019, held in Bled, Slovenia, on September 8, 2019.  From 16 submissio...
This book constitutes the thoroughly
refereed proceedings of the Fourth International
Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan,
Italy, in November 2014.
The five revised full papers were carefully selected from
21 submissions. Following the event, authors were
...
This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012.The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contribu...
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submi...
Empirical process techniques for independent data have been used
for many years in statistics and probability theory. These techniques
have proved very useful for studying asymptotic properties of
parametric as well as non-parametric statistical procedures. Recently,
the need to model the depend...
This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013.The six revised full papers were carefully selected from 18 submissions. Following the event, authors were given ...
This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In thi...
This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume were carefully reviewed and selected from 19 s...
This book constitutes the thoroughly
refereed proceedings of the Fourth International
Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan,
Italy, in November 2014.
The five revised full papers were carefully selected from
21 submissions. Following the event, authors were
...
This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization...
This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization...
This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.
The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough revie...