Prognostics and Health Management for Intelligent Electromechanic...
- Category Other
- Type E-Books
- Language English
- Total size 68.0 MB
- Uploaded By freecoursewb
- Downloads 56
- Last checked 4 days ago
- Date uploaded 6 months ago
- Seeders 3
- Leechers 1
Infohash : 044E4FCB636C3E18A3BC8DB5BE3920155C621786
Prognostics and Health Management for Intelligent Electromechanical Systems
https://WebToolTip.com
English | 2025 | ISBN-10: 9819672171 | 229 pages| Epub PDF (True) | 68 MB
This book gives a detailed introduction to the technical background, feature extraction methods, PHM models and big data embedding methods of the big data theory in PHM for intelligent electromechanical systems. Combination with deep learning and big data, this book explains the hybrid algorithm framework of PHM such as ensemble intelligence and optimized intelligence and introduces PHM models for bearing, IGBT, MOSFET and other components and their big data embedding platform. This book improves the PHM method and theory of electromechanical system under industrial big data and provides reference for the development of intelligent electromechanical equipment and intelligent industrial production in the future.
Download from free file storage
NITROFLARE
RAPIDGATOR
Files:
[ WebToolTip.com ] Prognostics and Health Management for Intelligent Electromechanical Systems- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here !
- 978-981-96-7218-9.epub (47.4 MB)
- 978-981-96-7218-9.pdf (20.6 MB)
- Bonus Resources.txt (0.1 KB)
There are currently no comments. Feel free to leave one :)
Code:
- udp://tracker.torrent.eu.org:451/announce
- udp://tracker.tiny-vps.com:6969/announce
- http://tracker.foreverpirates.co:80/announce
- udp://tracker.cyberia.is:6969/announce
- udp://exodus.desync.com:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://9.rarbg.to:2780/announce
- udp://tracker.internetwarriors.net:1337/announce
- udp://ipv4.tracker.harry.lu:80/announce
- udp://open.stealth.si:80/announce
- udp://9.rarbg.to:2900/announce
- udp://9.rarbg.me:2720/announce
- udp://opentor.org:2710/announce