|
|
|
|
| LEADER |
00000cam a2200000 a 4500 |
| 001 |
on1349310441 |
| 003 |
OCoLC |
| 005 |
20240808213014.0 |
| 006 |
m o d |
| 007 |
cr un|---aucuu |
| 008 |
221031s2022 si ob 000 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|c YDX
|d GW5XE
|d EBLCP
|d OCLCF
|d OCLCQ
|d OCLCO
|d OCLCQ
|
| 020 |
|
|
|a 9789811945144
|q (electronic bk.)
|
| 020 |
|
|
|a 9811945144
|q (electronic bk.)
|
| 020 |
|
|
|z 9811945136
|
| 020 |
|
|
|z 9789811945137
|
| 024 |
7 |
|
|a 10.1007/978-981-19-4514-4
|2 doi
|
| 035 |
|
|
|a (OCoLC)1349310441
|
| 041 |
1 |
|
|a eng
|h chi
|
| 050 |
|
4 |
|a TJ153
|
| 072 |
|
7 |
|a TGP
|2 bicssc
|
| 072 |
|
7 |
|a TEC020000
|2 bisacsh
|
| 072 |
|
7 |
|a TGP
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Jinji, Gao.
|
| 245 |
1 |
0 |
|a Artificial self-recovery and autonomous health of machine /
|c Gao Jinji.
|
| 260 |
|
|
|a Singapore :
|b Springer,
|c 2022.
|
| 300 |
|
|
|a 1 online resource
|
| 505 |
0 |
|
|a 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.
|
| 520 |
|
|
|a 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. .
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed November 3, 2022).
|
| 650 |
|
0 |
|a Machinery
|x Reliability.
|
| 650 |
|
0 |
|a Fault location (Engineering)
|
| 650 |
|
0 |
|a Fault tolerance (Engineering)
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
7 |
|a artificial intelligence.
|2 aat
|
| 650 |
|
7 |
|a Artificial intelligence
|2 fast
|
| 650 |
|
7 |
|a Fault location (Engineering)
|2 fast
|
| 650 |
|
7 |
|a Fault tolerance (Engineering)
|2 fast
|
| 650 |
|
7 |
|a Machinery
|x Reliability
|2 fast
|
| 655 |
|
0 |
|a Electronic books.
|
| 776 |
0 |
8 |
|c Original
|z 9811945136
|z 9789811945137
|w (OCoLC)1322809630
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-19-4514-4
|y Click for online access
|
| 903 |
|
|
|a SPRING-ALL2023
|
| 994 |
|
|
|a 92
|b HCD
|