Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386001190> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4386001190 endingPage "273" @default.
- W4386001190 startingPage "261" @default.
- W4386001190 abstract "Due to the demographic developments of an increasingly aging society, the number of employees retiring is also rising. Likewise, the fluctuation within the individual companies has increased drastically within the last few years. As a result, experience gained over many years is being lost. On the other hand, there is a strong trend towards an ever-increasing number of very complex manufacturing processes with a large number of process influencing variables, where the human monitoring capabilities are limited. In this work we study the complex process of hot stamping of metal blanks for car body parts with a demonstrator plant. The demonstrator plant consists of five main components, comprising a magazine for material feed, an industrial robot for transferring the raw material and the finished part, an annealing furnace, and a hydraulic press with the temperature controlled hot forming tool inside. All machines have open communication interfaces with which all sensor data can be accessed. The demonstrator plant is additionally outfitted with different sensors measuring crucial process parameters. We use temperature sensors in the punch and die and make use of capturing the structure-borne sound and mechanical vibrations during the process to closely monitor the process. This sensor data is analyzed and methods of machine learning are used to detect anomalies in the process data. The goal of this work is to develop a methodology for the systematic detection of anomalies in the hot forming process using machine learning methods within a demonstrator plant that are suitable for real time anomaly detection for a high level control system. We use unsupervised machine learning techniques and neural networks to detect anomalies with great accuracy on our test data." @default.
- W4386001190 created "2023-08-20" @default.
- W4386001190 creator A5013605491 @default.
- W4386001190 creator A5018930493 @default.
- W4386001190 creator A5052346863 @default.
- W4386001190 creator A5061544337 @default.
- W4386001190 date "2023-08-20" @default.
- W4386001190 modified "2023-10-07" @default.
- W4386001190 title "Development of a Demonstator Plant for Hot Stamping of Metal Sheets with a Machine Learning Assisted Anomaly Detection Control System" @default.
- W4386001190 cites W2142366846 @default.
- W4386001190 cites W2612810545 @default.
- W4386001190 cites W2613865843 @default.
- W4386001190 cites W3016088682 @default.
- W4386001190 cites W3164952570 @default.
- W4386001190 cites W3175350196 @default.
- W4386001190 cites W4233106690 @default.
- W4386001190 cites W4316659690 @default.
- W4386001190 doi "https://doi.org/10.1007/978-3-031-40920-2_28" @default.
- W4386001190 hasPublicationYear "2023" @default.
- W4386001190 type Work @default.
- W4386001190 citedByCount "0" @default.
- W4386001190 crossrefType "book-chapter" @default.
- W4386001190 hasAuthorship W4386001190A5013605491 @default.
- W4386001190 hasAuthorship W4386001190A5018930493 @default.
- W4386001190 hasAuthorship W4386001190A5052346863 @default.
- W4386001190 hasAuthorship W4386001190A5061544337 @default.
- W4386001190 hasConcept C111919701 @default.
- W4386001190 hasConcept C127413603 @default.
- W4386001190 hasConcept C133731056 @default.
- W4386001190 hasConcept C154945302 @default.
- W4386001190 hasConcept C155386361 @default.
- W4386001190 hasConcept C174998907 @default.
- W4386001190 hasConcept C21547014 @default.
- W4386001190 hasConcept C41008148 @default.
- W4386001190 hasConcept C739882 @default.
- W4386001190 hasConcept C78519656 @default.
- W4386001190 hasConcept C98045186 @default.
- W4386001190 hasConceptScore W4386001190C111919701 @default.
- W4386001190 hasConceptScore W4386001190C127413603 @default.
- W4386001190 hasConceptScore W4386001190C133731056 @default.
- W4386001190 hasConceptScore W4386001190C154945302 @default.
- W4386001190 hasConceptScore W4386001190C155386361 @default.
- W4386001190 hasConceptScore W4386001190C174998907 @default.
- W4386001190 hasConceptScore W4386001190C21547014 @default.
- W4386001190 hasConceptScore W4386001190C41008148 @default.
- W4386001190 hasConceptScore W4386001190C739882 @default.
- W4386001190 hasConceptScore W4386001190C78519656 @default.
- W4386001190 hasConceptScore W4386001190C98045186 @default.
- W4386001190 hasLocation W43860011901 @default.
- W4386001190 hasOpenAccess W4386001190 @default.
- W4386001190 hasPrimaryLocation W43860011901 @default.
- W4386001190 hasRelatedWork W2102218006 @default.
- W4386001190 hasRelatedWork W2138349465 @default.
- W4386001190 hasRelatedWork W2165750643 @default.
- W4386001190 hasRelatedWork W2309898439 @default.
- W4386001190 hasRelatedWork W2476704658 @default.
- W4386001190 hasRelatedWork W2638730922 @default.
- W4386001190 hasRelatedWork W2752220042 @default.
- W4386001190 hasRelatedWork W3155069932 @default.
- W4386001190 hasRelatedWork W717723 @default.
- W4386001190 hasRelatedWork W3111228260 @default.
- W4386001190 isParatext "false" @default.
- W4386001190 isRetracted "false" @default.
- W4386001190 workType "book-chapter" @default.