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Identification of Secondary Problems of New Technologies in Process Engineering by Patent Analysis

  • The implementation of new technologies in production plants often causes negative side effects and drawbacks. In this context, the prediction of the secondary problems and risks can be used advantageously for selecting best solutions for intensification of the processes. The proposed method puts primary emphasis on systematic and fast anticipation of secondary problems using patent documents, andThe implementation of new technologies in production plants often causes negative side effects and drawbacks. In this context, the prediction of the secondary problems and risks can be used advantageously for selecting best solutions for intensification of the processes. The proposed method puts primary emphasis on systematic and fast anticipation of secondary problems using patent documents, and on extraction and prediction of possible engineering contradictions within novel technical systems. The approach comprises three ways to find secondary problems: (a) direct knowledge-based identification of secondary problems in new technologies or equipment; (b) identification of secondary problems of prototypes mentioned in patent citation trees; and (c) prediction of negative side effects using the correlation matrix for invention goals and secondary problems in a specific engineering domain.show moreshow less

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Metadaten
Document Type:Part of a Book
Zitierlink: https://opus.hs-offenburg.de/3208
Bibliografische Angaben
Title (English):Identification of Secondary Problems of New Technologies in Process Engineering by Patent Analysis
Author:Pavel LivotovStaff MemberORCiDGND, Mas'udahStaff MemberORCiDGND, Arailym Sarsenova, Arun Prasad Chandra SekaranStaff Member
Year of Publication:2018
Date of first Publication:2018/11/02
Place of publication:Cham
Publisher:Palgrave Macmillan
First Page:151
Last Page:166
Parent Title (English):Advances in Systematic Creativity
Editor:Sebastian Koziołek, Leonid Chechurin
ISBN:978-3-319-78074-0
DOI:https://doi.org/10.1007/978-3-319-78075-7_10
URL:https://link.springer.com/chapter/10.1007/978-3-319-78075-7_10
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt