Implementation Guideline for an Artificial Intelligence‐Based Process Analysis and Optimization Application: Fid-Bau Portal

Fachinformationsdienst BAUdigital

Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik

Implementation Guideline for an Artificial Intelligence‐Based Process Analysis and Optimization Application

Kisslinger, Ferdinand / Hildinger, Monica

Using predictive and proactive maintenance methods for critical equipment and processes in industry can help reduce unplanned downtimes and improve process availability and stability. Artificial intelligence (AI) methods for process data analysis can provide plant operators with much‐needed insights for decision support and predictive plant maintenance strategies. In this article, a guideline for implementing AI methods in the process industry is provided using the AI‐based application Siemens Predictive Analytics (SiePA) and the results of a SiePA application in a milling process are presented.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Implementation Guideline for an Artificial Intelligence‐Based Process Analysis and Optimization Application

Kisslinger, Ferdinand / Hildinger, Monica

Using predictive and proactive maintenance methods for critical equipment and processes in industry can help reduce unplanned downtimes and improve process availability and stability. Artificial intelligence (AI) methods for process data analysis can provide plant operators with much‐needed insights for decision support and predictive plant maintenance strategies. In this article, a guideline for implementing AI methods in the process industry is provided using the AI‐based application Siemens Predictive Analytics (SiePA) and the results of a SiePA application in a milling process are presented.

Implementation Guideline for an Artificial Intelligence‐Based Process Analysis and Optimization Application

Kisslinger, Ferdinand / Hildinger, Monica

Using predictive and proactive maintenance methods for critical equipment and processes in industry can help reduce unplanned downtimes and improve process availability and stability. Artificial intelligence (AI) methods for process data analysis can provide plant operators with much‐needed insights for decision support and predictive plant maintenance strategies. In this article, a guideline for implementing AI methods in the process industry is provided using the AI‐based application Siemens Predictive Analytics (SiePA) and the results of a SiePA application in a milling process are presented.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Implementation Guideline for an Artificial Intelligence‐Based Process Analysis and Optimization Application

Beteiligte:

Kisslinger, Ferdinand (Autor:in) / Hildinger, Monica (Autor:in)

Erschienen in:

Chemie Ingenieur Technik ; 93 ; 2045-2051

Erscheinungsdatum:

01.12.2021

Format / Umfang:

7 pages

ISSN:

0009-286X , 1522-2640

DOI:

https://doi.org/10.1002/cite.202100090

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Implementation guidelines , Predictive maintenance , Anomaly detection , Process optimization , Artificial intelligence

Ähnliche Titel

Artificial intelligence implementation in the APS process diagnostic

Guessasma, S. / Salhi, Z. / Montavon, G. et al. | British Library Online Contents | 2004

The Implementation of Artificial Intelligence in Project Management

Bharati, Aditi / Sandbrink, Christoph | TIBKAT | 2024

Freier Zugriff

Isolated systems with wind power. An implementation guideline

Clausen, Niels-Erik / Bindner, Henrik W. / Frandsen, Sten Tronæs et al. | BASE | 2001

Freier Zugriff

Light wall spraying process based on artificial intelligence

QIAN SHENG / CHEN SONG / ZHU SUJUN et al. | Europäisches Patentamt | 2024

Freier Zugriff

An artificial intelligence application for architectural textures analysis

Papi, D. G. / International Society for Photogrammetry and Remote Sensing | British Library Conference Proceedings | 2003