國立虎尾科技大學 |

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-語言資料,印刷品 : 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:	Yadav, Amit Kumar.
面頁冊數:	XIX, 496 p. 309 illus., 248 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control, Robotics, Mechatronics. -
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. - 1st ed. 2020. - XIX, 496 p. 309 illus., 248 illus. in color.online resource. - Advances in Intelligent Systems and Computing,10962194-5357 ;. - Advances in Intelligent Systems and Computing,335.

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:

768396
Control, Robotics, Mechatronics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems = Novel Methods for Condition Monitoring and Diagnostics /
LDR:03551nam a22004095i 4500 001 1020733
003 DE-He213
005 20200629175717.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811515323 $9 978-981-15-1532-3
024 7 $a 10.1007/978-981-15-1532-3 $2 doi
035 $a 978-981-15-1532-3
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 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.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIX, 496 p. 309 illus., 248 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $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 2 4 $a Control, Robotics, Mechatronics. $3 768396
650 2 4 $a Machinery and Machine Elements. $3 670866
650 2 4 $a Machine Learning. $3 1137723
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Mechatronics. $3 559133
650 0 $a Robotics. $3 561941
650 0 $a Control engineering. $3 1249728
650 0 $a Machinery. $3 990113
650 0 $a Machine learning. $3 561253
650 0 $a Computational intelligence. $3 568984
700 1 $a Yadav, Amit Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1316271
700 1 $a Iqbal, Atif. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1030810
700 1 $a Malik, Hasmat. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1299633
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811515316
776 0 8 $i Printed edition: $z 9789811515330
776 0 8 $i Printed edition: $z 9789811515347
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-981-15-1532-3
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)