LEADER 04361nam 22006855 450 001 9910484077803321 005 20251113174655.0 010 $a981-15-1532-8 024 7 $a10.1007/978-981-15-1532-3 035 $a(CKB)4100000010118824 035 $a(MiAaPQ)EBC6027259 035 $a(DE-He213)978-981-15-1532-3 035 $a(PPN)243767188 035 $a(EXLCZ)994100000010118824 100 $a20200117d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSoft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems $eNovel Methods for Condition Monitoring and Diagnostics /$fedited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (499 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1096 311 08$a981-15-1531-X 327 $aFault 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. 330 $aThis book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical systems, mechanical systems, smart grids, etc. The book?s goal is to develop and combine all advanced nonintrusive CMFD approaches on a common platform. To do so, it explores the main components of various systems used for CMFD purposes. The content is divided into three main parts, the first of which provides a brief introduction, before focusing on the state of the art and major research gaps in the area of CMFD. The second part covers the step-by-step implementation of novel soft computing applications in CMFD for electrical and mechanical systems. In the third and final part, the simulation codes for each chapter are included in an extensive appendix to support newcomers to the field. . 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1096 606 $aComputational intelligence 606 $aMachine learning 606 $aMachinery 606 $aControl engineering 606 $aRobotics 606 $aAutomation 606 $aComputational Intelligence 606 $aMachine Learning 606 $aMachinery and Machine Elements 606 $aControl, Robotics, Automation 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aMachinery. 615 0$aControl engineering. 615 0$aRobotics. 615 0$aAutomation. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aMachinery and Machine Elements. 615 24$aControl, Robotics, Automation. 676 $a006.3 702 $aMalik$b Hasmat$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIqbal$b Atif$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYadav$b Amit Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484077803321 996 $aSoft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems$92013029 997 $aUNINA