Feature extraction of the hydraulic pump fault based on improved Autogram-Reference-Cited by-同舟云学术

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Feature extraction of the hydraulic pump fault based on improved Autogram

Published:2020-10 Issue: Volume:163 Page:107908
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zheng Zhi,Li Xianze,Zhu Yong

Funder

Fundamental Research Funds for the Provincial Universities of Hebei

Startup Foundation for the Doctors of North China University of Science and Technology

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference33 articles.

1. Tacholess Speed Estimation in Order Tracking: A Review with application to rotating machine fault diagnosis;Lu;IEEE. T. Instrum. Meas.,2019

2. Meshing frequency modulation (MFM) index-based kurtogram for planet bearing fault detection;Wang;J. Sound. Vib.,2018

3. A sparse auto-encoder-based deep neural network approach for induction motor faults classification;Sun;Measurement,2016

4. Modified breathing mechanism model and phase waterfall plot diagnostic method for cracked rotors;Xie;J. Mech. Sci. Technol.,2018

5. Multi-Scale Stochastic Resonance Spectrogram for fault diagnosis of rolling element bearings;He;J. Sound. Vib.,2018

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