國立高雄大學圖資館 |

Language: English

Back

Artificial self-recovery and autonomous health of machine

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial self-recovery and autonomous health of machineby Gao Jinji.
Author:	Jinji, Gao.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xxxii, 404 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	MachineryReliability.
Online resource:	https://doi.org/10.1007/978-981-19-4514-4
ISBN:	9789811945144$q(electronic bk.)

Artificial self-recovery and autonomous health of machine
Jinji, Gao.

Artificial self-recovery and autonomous health of machine[electronic resource] /by Gao Jinji. - Singapore :Springer Nature Singapore :2023. - xxxii, 404 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811945144$q(electronic bk.)

Standard No.: 10.1007/978-981-19-4514-4doiSubjects--Topical Terms:

665116
Machinery
--Reliability.

LC Class. No.: TJ153

Dewey Class. No.: 620.00452

Artificial self-recovery and autonomous health of machine
LDR:02284nmm a2200325 a 4500 001 645139
003 DE-He213
005 20221027225130.0
006 m d
007 cr nn 008maaau
008 231208s2023 si s 0 eng d
020 $a 9789811945144$q(electronic bk.)
020 $a 9789811945137$q(paper)
024 7 $a 10.1007/978-981-19-4514-4 $2 doi
035 $a 978-981-19-4514-4
040 $a GP $c GP
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
082 0 4 $a 620.00452 $2 23
090 $a TJ153 $b .J61 2023
100 1 $a Jinji, Gao. $3 953863
245 1 0 $a Artificial self-recovery and autonomous health of machine $h [electronic resource] / $c by Gao Jinji.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xxxii, 404 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Machinery $x Reliability. $3 665116
650 0 $a Fault location (Engineering) $3 266155
650 0 $a Fault tolerance (Engineering) $3 339456
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Machines, Tools, Processes. $3 913445
650 2 4 $a Multibody Systems and Mechanical Vibrations. $3 922041
650 2 4 $a Mechatronics. $3 189824
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-19-4514-4
950 $a Engineering (SpringerNature-11647)