Performance Optimization of Fault Diagnosis Methods for Power Systems : Engineering Applications of Computational Methods - Dandan Tang

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Performance Optimization of Fault Diagnosis Methods for Power Systems

By: Dandan Tang, Junyan Fan, Juan Zhang, Dinghui Wu

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Hardcover | 19 September 2022

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Hardcover
144 Pages

Dimensions(cm)
23.5 x 15.5

Hardcover

$169.00

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- Chapter 1 Introduction.
- Chapter 2 Fault Diagnosis of Variable Pitch for Wind Turbine Based on Multi-innovation Forgetting Gradient Identification Algorithm.
- Chapter 3 Active Fault-tolerant Linear Parameter Varying Control for the Pitch Actuator of Wind Turbines.
- Chapter 4 Fault Estimation and Fault-tolerant Control of Wind Turbines Using the SDW-LSI Algorithm.
- Chapter 5 A New Fault Diagnosis Approach for the Pitch System of Wind Turbines.
- Chapter 6 A dual-threshold state analysis and fault location method for power system based on random matrix theory.
- Chapter 7 Analysis of grid operation state based on improved MESCM algorithm.
- Chapter 8 Joint Weighted Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions.
- Chapter 9 ANS-net: anti-noise Siamese network for bearing fault diagnosis with a few data.
- Chapter 10 Fault Diagnosis of Rolling Bearing Based on Edge Calculation.

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