A graphical workflow editor for tool integration in the design and analysis of gas turbines
Bibliographic record
Abstract
The development of complex cyber-physical systems such as aeroderivative gas turbines (AGT) frequently involves running variety of multi-disciplinary design and analysis tools executed along hierarchical workflows in a collaborative environment.The efficient and accurate definition of tool integration workflows is a major challenge because the processing of data for each tool in the sequence is dependent upon the results generated by the other tool.In this thesis, I present a graphical workflow editor to provide an interactive, intuitive and userfriendly tool to define complex tool integration workflows.The workflow editor builds on several innovative ideas: (1) instead of a static palette, reusable workflow elements can be selected and instantiated from a dynamic library of model classes, which is continuously synchronized with a version control system, (2) workflow elements are placed on a grid layout similar to UML swimlanes but with dynamically expandable columns and rows, (3) auto-wiring is provided to draw connections between type compatible workflow elements.The workflow editor is developed using popular model-based tool development platforms such as Eclipse Modeling Framework (EMF) for the definition of concepts of the domain specific language, Graphical Modeling Framework (GMF) and Sirius for the development of graphical modeling workbench.For the model-to-text transformation, VIATRA framework is used which provides a graph pattern based query language and an efficient incremental query engine.The performance and scalability of Graphical Workflow Editor is supported by early experimental results discussed in this thesis.The results indicate that the time taken for the workflow definition remains within acceptable limits even for the larger and complex workflow models.A user study is also included to provide a general feedback about the features of graphical workflow editor.ii RsumLe dveloppement de systmes physico-numriques complexes tels que les turbines gaz arodrives (TGA) implique trs souvent l'utilisation d'une diversit d'outils multidisciplinaires pour la conception et l'analyse, excuts au travers de flux de travaux hirarchiss dans un environnement collaboratif.La dfinition de l'intgration des outils dans les flux de travaux se doit d'tre efficace et prcise.Elle reprsente un des enjeux majeurs car le traitement des donnes de chaque outil dans la squence est dpendant des rsultats gnrs par les autres outils.Dans ce mmoire, je prsente un diteur graphique de flux de travaux qui offre un outil interactif, intuitif et avec une interface conviviale permettant de dfinir l'intgration des flux de travaux d'outils complexes.L'diteur de flux de travaux est construit sur plusieurs ides innovantes : (1) plutt que d'utiliser une palette statique, des lments rutilisables de flux de travaux peuvent tre slectionns et instancis depuis une librairie dynamique de modles de classes, qui est continuellement synchronise avec un systme de contrle de version, (2) les lments de flux de travaux sont placs dans une grille dont le nombre de colonnes et de lignes se modifie dynamiquement similaire aux couloirs UML, (3) l'criture automatique permet de dessiner les connexions entre les types d'lments de flux de travaux compatibles.L'diteur de flux de travail est dvelopp grce des plateformes de dveloppement d'outils bass sur les modles tels que Eclipse Modeling Framework (EMF) pour la dfinition des concepts lies au langage spcifique aux domaines, Graphical Modelling Framework (GMF) et Sirius pour le dveloppement de l'tabli de modlisation graphique.Pour la transformation du modle vers le texte, la structure VIATRA est utilise, ce qui procure un langage de requte bas sur des modles graphiques et un moteur incrmental de requtes efficace.Les performances et la mise l'chelle de l'diteur de flux de travaux est appuy par les rsultats exprimentaux prliminaires discuts dans ce mmoire.Les rsultats prouvent que le temps moyen de dfinition d'un flux de travail reste dans les limites acceptables mme pour les modles de flux de travaux plus grands et plus complexes.Une tude auprs des utilisateurs est galement incluse afin de donner un retour sur les diffrentes fonctionnalits proposes par l'diteur graphique de flux de travaux.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".