Data intensive industrial asset management : IoT-based algorithms and implementation /: IoT-based algorithms and implementation. (2020)
- Record Type:
- Book
- Title:
- Data intensive industrial asset management : IoT-based algorithms and implementation /: IoT-based algorithms and implementation. (2020)
- Main Title:
- Data intensive industrial asset management : IoT-based algorithms and implementation
- Further Information:
- Note: Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao.
- Authors:
- Balali, Farhad
Nouri, Jessie
Nasiri, Adel
Zhao, Tian - Contents:
- Principles of Internet of Things (IoT) -- Asset Management and Maintenance Policies -- Statistical Data Analysis -- Descriptive, Diagnostics, Predictive, and Prescriptive Analysis -- Fault and Risk Analysis -- Predictive Failure Detection Algorithms -- Smart Device Function and Operation -- Data Driven Approaches -- Parameter Selection and Real Time Monitoring -- Edge and Cloud Computing -- Data Analytics and Visualization -- Artificial Intelligence for Predictive Maintenance -- Implementation Tools -- Case Studies.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (236 pages)
- Subjects:
- 658.56
Internet of things
Manufacturing processes -- Automation
Production management -- Data processing
Internet of things
Manufacturing processes -- Automation
Production management -- Data processing - Languages:
- English
- ISBNs:
- 9783030359300
- Related ISBNs:
- 9783030359294
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.486285
- Ingest File:
- 03_043.xml