| Titre : |
Reliability Modeling in Industry 4.0 |
| Type de document : |
document électronique |
| Auteurs : |
Mangey Ram, Auteur |
| Editeur : |
Amsterdam : Elsevier |
| Année de publication : |
2023 |
| Importance : |
1 fichier PDF |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-0-323-99204-6 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Reliability (Engineering)--Mathematical models
Industry 4.0 |
| Index. décimale : |
004.896 Intelligence artificielle dans les systèmes industriels |
| Résumé : |
Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications. - Provides innovative reliability modeling tools related to the application of Industry 4.0 technologies - Includes case studies from industries such as rail, energy, and computer systems - Describes techniques for the successful digital transformation of industries for sophisticated reliability system |
| Note de contenu : |
Summary:
1.Reliability analysis and maintenance optimization for the cost-based component maintenance priority with Industry 4.0
2.System reliability in IoT-based data collecting systems using low-cost particulate matter sensors
3.Reliability and risk analysis in critical infrastructure protection
4.Applied issues of chaotic dynamics in the management of unique evolutionary systems
5.Safety-critical railway systems
6.Modeling and object recognition skill transfer in industrial intelligent robots
7.Modeling and object recognition skill transfer in industrial intelligent robots
8.Systems reliability for industrial multivariate processes
9.Predicting vulnerability discovery processes in an operating system
10.Efficiency of condensing thermal power plant as a complex
11.Maintenance and safety of industrial systems
...
|
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=3e31efe8-d878-3449-ad2c-3564b8 [...] |
Reliability Modeling in Industry 4.0 [document électronique] / Mangey Ram, Auteur . - Amsterdam : Elsevier, 2023 . - 1 fichier PDF : ill. ISBN : 978-0-323-99204-6 Langues : Anglais ( eng)
| Mots-clés : |
Reliability (Engineering)--Mathematical models
Industry 4.0 |
| Index. décimale : |
004.896 Intelligence artificielle dans les systèmes industriels |
| Résumé : |
Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications. - Provides innovative reliability modeling tools related to the application of Industry 4.0 technologies - Includes case studies from industries such as rail, energy, and computer systems - Describes techniques for the successful digital transformation of industries for sophisticated reliability system |
| Note de contenu : |
Summary:
1.Reliability analysis and maintenance optimization for the cost-based component maintenance priority with Industry 4.0
2.System reliability in IoT-based data collecting systems using low-cost particulate matter sensors
3.Reliability and risk analysis in critical infrastructure protection
4.Applied issues of chaotic dynamics in the management of unique evolutionary systems
5.Safety-critical railway systems
6.Modeling and object recognition skill transfer in industrial intelligent robots
7.Modeling and object recognition skill transfer in industrial intelligent robots
8.Systems reliability for industrial multivariate processes
9.Predicting vulnerability discovery processes in an operating system
10.Efficiency of condensing thermal power plant as a complex
11.Maintenance and safety of industrial systems
...
|
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=3e31efe8-d878-3449-ad2c-3564b8 [...] |
|  |
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