Soft computing in condition monitoring and diagnostics of electrical and mechanical systems : novel methods for condition monitoring and diagnostics / Hasmat Malik, Atif Iqbal, Amit Kumar Yadav, editors.
Malik, Hasmat.; Iqbal, Atif.; Yadav, Amit Kumar.
2020
TA417.2
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Soft computing in condition monitoring and diagnostics of electrical and mechanical systems : novel methods for condition monitoring and diagnostics / Hasmat Malik, Atif Iqbal, Amit Kumar Yadav, editors.
ISBN 9789811515323 (electronic book)
9811515328 (electronic book)
981151531X
9789811515316
DOI https://doi.org/10.1007/978-981-15-1
Imprint Singapore : Springer, 2020.
Language English
Description 1 online resource (499 pages).
Other Standard Identifiers 10.1007/978-981-15-1
Call Number TA417.2
Dewey Decimal Classification 620.1/1270285
Summary 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 books 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Malik, Hasmat.
Iqbal, Atif.
Yadav, Amit Kumar.
Series Advances in intelligent systems and computing ; 1096.
Available in Other Form Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems : Novel Methods for Condition Monitoring and Diagnostics
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export