Local Maximum Synchrosqueezing Chirplet Transform: An Effective Tool for Strongly Nonstationary Signals of Gas Turbine-Reference-Cited by-同舟云学术

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Local Maximum Synchrosqueezing Chirplet Transform: An Effective Tool for Strongly Nonstationary Signals of Gas Turbine

Published:2021 Issue: Volume:70 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

He Ya,Jiang Zhinong,Hu Minghui,Li YeZheng

Funder

NSFC-Liaoning Joint Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09419082.pdf?arnumber=9419082

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local maximum synchrosqueezing reassigning chirplet transform and its application to gearbox fault diagnosis;Measurement Science and Technology;2024-05-14

2. Smart Sensor-Based Monitoring Technology for Machinery Fault Detection;Sensors;2024-04-12

3. A combined spline chirplet transform and local maximum synchrosqueezing technique for structural instantaneous frequency identification;SMART STRUCT SYST;2024

4. An Artificial Neural Network-Based Fault Diagnostics Approach for Hydrogen-Fueled Micro Gas Turbines;Energies;2024-02-02

5. Adaptive Local Maximum Synchrosqueezing Transform via Adaptive Window With Time-Varying Function and Time- Varying Searching Region;IEEE Transactions on Instrumentation and Measurement;2024

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