東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Nondestructive testing- Data processing." ]

切換: 標籤 | MARC模式 | ISBD

Soft computing in condition monitori...

Malik, Hasmat.

FindBook

Google Book

Amazon

博客來

Soft computing in condition monitoring and diagnostics of electrical and mechanical systems = novel methods for condition monitoring and diagnostics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing in condition monitoring and diagnostics of electrical and mechanical systems/ edited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav.
其他題名:	novel methods for condition monitoring and diagnostics /
其他作者:	Malik, Hasmat.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xix, 496 p. :ill., digital ;24 cm.
內容註:	Fault Tolerant Control of Single and Multiple Mobile Robots -- Faults and Fault Detection Methods in Electric Drives -- Introduction to Condition Monitoring of Wide Area Monitoring (WAM) System -- Introduction to Condition Monitoring of Electrical Systems -- Condition Monitoring and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS) -- Introduction to Condition Monitoring of PV system -- Novel Application of Artificial Neural Network techniques for Prediction of Air Pollutants using Stochastic Variables for Health Monitoring: A review -- Performance Enhancement and Extension of DGA Based Transformer Fault Diagnosis Methods Using Soft-computing Techniques -- Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers -- Data Driven Intelligent Model for Sales Prices Prediction and Monitoring of a Building -- Experimental Study of Sideband Harmonics in Vibration Spectrum of two Stage Planetary Gear Box for Condition Monitoring.
Contained By:	Springer eBooks
標題:	Nondestructive testing - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-15-1532-3
ISBN:	9789811515323

Soft computing in condition monitoring and diagnostics of electrical and mechanical systems = novel methods for condition monitoring and diagnostics /
Soft computing in condition monitoring and diagnostics of electrical and mechanical systemsnovel methods for condition monitoring and diagnostics /[electronic resource] :edited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav. - Singapore :Springer Singapore :2020. - xix, 496 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.10962194-5357 ;. - Advances in intelligent systems and computing ;v.1096..

Fault Tolerant Control of Single and Multiple Mobile Robots -- Faults and Fault Detection Methods in Electric Drives -- Introduction to Condition Monitoring of Wide Area Monitoring (WAM) System -- Introduction to Condition Monitoring of Electrical Systems -- Condition Monitoring and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS) -- Introduction to Condition Monitoring of PV system -- Novel Application of Artificial Neural Network techniques for Prediction of Air Pollutants using Stochastic Variables for Health Monitoring: A review -- Performance Enhancement and Extension of DGA Based Transformer Fault Diagnosis Methods Using Soft-computing Techniques -- Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers -- Data Driven Intelligent Model for Sales Prices Prediction and Monitoring of a Building -- Experimental Study of Sideband Harmonics in Vibration Spectrum of two Stage Planetary Gear Box for Condition Monitoring.

This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book's goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.

ISBN: 9789811515323

Standard No.: 10.1007/978-981-15-1532-3doiSubjects--Topical Terms:

1567740
Nondestructive testing
--Data processing.

LC Class. No.: TA417.2 / .S648 2020

Dewey Class. No.: 620.11270285

Soft computing in condition monitoring and diagnostics of electrical and mechanical systems = novel methods for condition monitoring and diagnostics /
LDR:03172nmm a2200337 a 4500 001 2215746
003 DE-He213
005 20200620162217.0
006 m d
007 cr nn 008maaau
008 201120s2020 si s 0 eng d
020 $a 9789811515323 $q (electronic bk.)
020 $a 9789811515316 $q (paper)
024 7 $a 10.1007/978-981-15-1532-3 $2 doi
035 $a 978-981-15-1532-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA417.2 $b .S648 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 620.11270285 $2 23
090 $a TA417.2 $b .S681 2020
245 0 0 $a Soft computing in condition monitoring and diagnostics of electrical and mechanical systems $h [electronic resource] : $b novel methods for condition monitoring and diagnostics / $c edited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xix, 496 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.1096
505 0 $a Fault Tolerant Control of Single and Multiple Mobile Robots -- Faults and Fault Detection Methods in Electric Drives -- Introduction to Condition Monitoring of Wide Area Monitoring (WAM) System -- Introduction to Condition Monitoring of Electrical Systems -- Condition Monitoring and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS) -- Introduction to Condition Monitoring of PV system -- Novel Application of Artificial Neural Network techniques for Prediction of Air Pollutants using Stochastic Variables for Health Monitoring: A review -- Performance Enhancement and Extension of DGA Based Transformer Fault Diagnosis Methods Using Soft-computing Techniques -- Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers -- Data Driven Intelligent Model for Sales Prices Prediction and Monitoring of a Building -- Experimental Study of Sideband Harmonics in Vibration Spectrum of two Stage Planetary Gear Box for Condition Monitoring.
520 $a This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book's goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field.
650 0 $a Nondestructive testing $x Data processing. $3 1567740
650 0 $a Soft computing. $3 563033
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Machinery and Machine Elements. $3 893855
650 2 4 $a Control, Robotics, Mechatronics. $3 1002220
700 1 $a Malik, Hasmat. $3 3381669
700 1 $a Iqbal, Atif. $3 3447534
700 1 $a Yadav, Amit Kumar. $3 3447535
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v v.1096. $3 3447536
856 4 0 $u https://doi.org/10.1007/978-981-15-1532-3
950 $a Intelligent Technologies and Robotics (Springer-42732)