Performance optimization of fault diagnosis methods for power systems / Dinghui Wu, Juan Zhang, Junyan Fan, Dandan Tang.

This book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of...

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Bibliographic Details
Main Authors: Wu, Dinghui (Author), Zhang, Juan, 1976- (Author), Fan, Junyan (Author), Tang, Dandan (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Series:Engineering applications of computational methods ; v. 9.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Wu, Dinghui,  |e author. 
245 1 0 |a Performance optimization of fault diagnosis methods for power systems /  |c Dinghui Wu, Juan Zhang, Junyan Fan, Dandan Tang. 
264 1 |a Singapore :  |b Springer,  |c [2023] 
300 |a 1 online resource (xii, 127 pages) :  |b illustrations (some color). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Engineering applications of computational methods,  |x 2662-3374 ;  |v volume 9 
505 0 |a Introduction -- Fault Diagnosis of Variable Pitch for Wind Turbine Based on Multi-innovation Forgetting Gradient Identification Algorithm -- Active Fault-tolerant Linear Parameter Varying Control for the Pitch Actuator of Wind Turbines -- Fault Estimation and Fault-tolerant Control of Wind Turbines Using the SDW-LSI Algorithm -- A New Fault Diagnosis Approach for the Pitch System of Wind Turbines. 
520 |a This book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of electrical engineers and scientists. Pursuing a holistic approach to improve the accuracy and efficiency of existing methods, the underlying concepts toward several algorithms are introduced and then further applied in various situations for fault diagnosis of power systems in this book. The primary audience for the book would be the scholars and graduate students whose research topics including the control theory, applied mathematics, fault detection, and so on. 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed September 22, 2022). 
650 0 |a Fault location (Engineering) 
650 0 |a Electric power systems. 
650 7 |a Electric power systems  |2 fast 
650 7 |a Fault location (Engineering)  |2 fast 
700 1 |a Zhang, Juan,  |d 1976-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjrGc6kKhdyVWJyx4wGVfq 
700 1 |a Fan, Junyan,  |e author. 
700 1 |a Tang, Dandan,  |e author. 
830 0 |a Engineering applications of computational methods ;  |v v. 9. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-19-4578-6  |y Click for online access 
903 |a SPRING-ALL2023 
994 |a 92  |b HCD