Výsledky vyhledávání - "Zengqiang Ma"

Akademický článek

A Robust Observer-Based Control Structure for Permanent Magnet Synchronous Motor Drives Based on MPC And Sliding Mode Observation

Autor: Deyue Meng, Zengqiang Ma, Wei Liu

Publikováno v: Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1253-1264 (2024)

In PMSM motor drive systems, control accuracy and resistance have always been the most important challenges for researchers. This paper addresses these two challenges and presents a control structure that makes the system performance robust against m

Externí odkaz: https://doaj.org/article/aa73fca120d94efb8c2662a4e413d70a

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Akademický článek

An Adaptive Generalized Demodulation Method for Multimedia Spectrum Analysis is Applied in Rolling Bearing Fault Diagnosis

Autor: Zengqiang Ma, Feiyu Lu, Suyan Liu, Xin Li

Publikováno v: IEEE Access, Vol 8, Pp 20687-20699 (2020)

Research into rolling bearing fault diagnosis methods is of great significance because rolling bearings are a key part of mechanical equipment. The effect of iterative generalized demodulation (IGD) on the demodulation of the fundamental frequency co

Externí odkaz: https://doaj.org/article/f29a0dd05bc94be1a2c9a620e76a1958

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Akademický článek

Fractional Synchrosqueezing Transformation and its Application in the Estimation of the Instantaneous Frequency of a Rolling Bearing

Autor: Xin Li, Zengqiang Ma, Suyan Liu, Feiyu Lu

Publikováno v: IEEE Access, Vol 8, Pp 134084-134100 (2020)

The time-frequency energy distribution processed by a short-time Fourier transform can be compressed to the real instantaneous frequency by the synchrosqueezing transformation (SST), which improves the time-frequency energy concentration of the signa

Externí odkaz: https://doaj.org/article/1d4a15487bb84a3dbf67e550100f83eb

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Akademický článek

Envelope demodulation method based on SET for fault diagnosis of rolling bearings under variable speed

Autor: Zengqiang MA, Xin LI, Suyan LIU, Yongjie GE, Feiyu LU

Publikováno v: Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 14, Iss 7, Pp JAMDSM0104-JAMDSM0104 (2020)

Time-frequency analysis can effectively reveal the fault characteristics of rolling bearings under variable speed conditions. However, the traditional time-frequency analysis method cannot meet the requirements of anti-noise ability and time-frequenc

Externí odkaz: https://doaj.org/article/bfe5bafc8570442e8fa2cb0430b8640f

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Akademický článek

An Improved Time-Frequency Analysis Method for Instantaneous Frequency Estimation of Rolling Bearing

Autor: Zengqiang Ma, Wanying Ruan, Mingyi Chen, Xiang Li

Publikováno v: Shock and Vibration, Vol 2018 (2018)

Instantaneous frequency estimation of rolling bearing is a key step in order tracking without tachometers, and time-frequency analysis method is an effective solution. In this paper, a new method applying the variational mode decomposition (VMD) in a

Externí odkaz: https://doaj.org/article/bbfcb9764838416ea80aa4e720c51314

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Akademický článek

A novel compound from the mushroom Cryptoporus volvatus inhibits porcine reproductive and respiratory syndrome virus (PRRSV) in vitro.

Autor: Zengqiang Ma, Weiwei Zhang, Li Wang, Mengjuan Zhu, Hexiang Wang, Wen-Hai Feng, Tzi Bun Ng

Publikováno v: PLoS ONE, Vol 8, Iss 11, p e79333 (2013)

Porcine reproductive and respiratory syndrome (PRRS), caused by PRRS virus (PRRSV), is a serious contagious disease in the swine industry. At present, there are no effective control strategies against PRRSV. Thus, there is an urgent need for new trea

Externí odkaz: https://doaj.org/article/c1f9070dcb6349b2bb6bc90a9b6e9db6

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Local Adaptiveness of Mixed Higher Order Partial Differential Equations and Its Application in Image Denoising

Autor: Weiming Wang, Zengqiang Ma, Hang Yang, Dandan Xu, Sasa Ma

Publikováno v: Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 16:45-55

Background: Image denoising methods based on partial differential equations have attracted much attention due to their "infinite" local adaptation capabilities, high flexibility, and strong mathematical theoretical support. Methods: This paper propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18d68e9b934c6b6d71ae292d6fa4d2d1
https://doi.org/10.2174/2352096515666220829140841

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