刘怡-818棋牌正版

发布时间:2024-10-09 浏览量:次

所在部门(必填)机电工程学院

(系部)智能制造系

(研究所)高端装备系统动力学与智能诊断维护研究所

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个人818棋牌正版主页:

研究方向

旋转机械故障诊断

基本介绍

刘怡,女,1993年生,讲师,工学博士

主要工作经历

2023.9—至今,温州大学机电学院专任教师

获奖情况


承担项目


学术任职


学术成果

[1] liu yi, xiang hang, jiang zhansi *, xiang jiawei*. second-order transient-extracting s transform for fault feature extraction in rolling bearings[j]. reliability engineering &system safety, 2023, 230: 108955.

[2] liu yi, xiang hang, jiang zhansi *, xiang jiawei*. iterative synchrosqueezing-based general linear chirplet transform for time-frequency feature extraction[j]. ieee transactions on instrumentation and measurement, 2023, 72: 3506711.

[3] liu yi, xiang hang, jiang zhansi, xiang jiawei*. a domain adaption resnet model to detect faults in roller bearings using vibro-acoustic data[j]. sensors, 2023, 23(6): 3068.

[4] liu yi, xiang hang, jiang zhansi, xiang jiawei*. refining the time-frequency characteristic of non-stationary signal for improving time-frequency representation under variable speeds[j]. scientific reports, 2023,13(1): 5215.

[5] liu yi, jiang zhansi, huang haizhou, xiang jiawei*. a teo-based modified laplacian of gaussian filter to detect faults in rolling element bearing for variable rotational speed machine[j]. iet science measurement & technology, 2021, 15(9): 193-203.

[6] liu yi, jiang zhansi, huang haizhou, xiang jiawei*. asymmetric penalty sparse model based cepstrum analysis for bearing fault detections[j]. appliedacoustics, 2020, 165: 107288.

[7] liu yi, jiang zhansi, xiang jiawei*. an adaptive cross-validation thresholding de-noising algorithm for fault diagnosis of rolling element bearings under variable and transients conditions[j]. ieee access, 2020, 8: 67501-67518.

[8] li jiahao, liu yi, chen qian, xiang jiawei*. simulation-driven bandpass filter in association with an optimal bandwidth to detect faults in axial piston pumps[j]. measurement science and technology, 2023, 34(9): 095116.

[9] li jiahao, liu yi, xiang jiawei*. optimal maximum cyclostationary blind deconvolution for bearing fault detection[j]. ieee sensors journal, 2023, 23(14): 15975-15987.

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