Artificial self-recovery and autonomous health of machine / Gao Jinji.
Jinji, Gao.
2022
TJ153
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Artificial self-recovery and autonomous health of machine / Gao Jinji.
Author Jinji, Gao.
ISBN 9789811945144 (electronic bk.)
9811945144 (electronic bk.)
9811945136
9789811945137
DOI https://doi.org/10.1007/978-981-19-4514-4
Imprint Singapore : Springer, 2022.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-981-19-4514-4 doi
Call Number TJ153
Dewey Decimal Classification 620/.00452
Summary This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health. .
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 3, 2022).
Available in Other Form Print version: 9789811945137
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Medicine promotes artificial self-recovery of machines
Bionic artificial self-recovery and artificial intelligence
Theory of engineering self-recovery
Self-recovery and automation
Principle of fault self-recovery regulation
Industrial Internet enabling traceability diagnosis and Intelligent Operation and maintenance
Independent health and auxiliary rehabilitation and safety protection of power machinery
Traceability and targeted suppression Technology for Fault diagnosis of Turbine Machinery
Automatic balance of rotating Machinery and dynamic balance of Aeroengine
Intrinsic safety of artificial self-healing driven high-risk process equipment
Artificial self-healing and independent health contribute to a new round of scientific and technological revolution.

Browse Subjects

Show more subjects...

Statistics

from
to
Export