Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

C Lu, Z Wang, B Zhou - Advanced Engineering Informatics, 2017 - Elsevier
Rolling bearing tips are often the most susceptible to electro-mechanical system failure due
to high-speed and complex working conditions, and recent studies on diagnosing bearing …

An improved generalized flexibility matrix approach for structural damage detection

H Liu, Z Li - Inverse Problems in Science and Engineering, 2020 - Taylor & Francis
Structural damage detection is a key part of structural health monitoring. The generalized
flexibility matrix approach is an effective method for damage detection. Compared with the …

The generalized flexibility matrix method for structural damage detection with incomplete mode shape data

H Liu, B Wu, Z Li - Inverse Problems in Science and Engineering, 2021 - Taylor & Francis
Achieving complete data of measured mode shapes is costly during the process of structural
dynamic test. This results in a challenge for the damage detection. This paper concentrates …

An improved generalized flexibility matrix-based damage identification technique for derrick steel structures

S Zheng, Z Li, Y Yu, Q Gao, Z Li - Journal of Vibration and …, 2024 - journals.sagepub.com
An improved generalized flexibility matrix-based method using matrix partitioning technique
for structure damage identification is proposed. As an effective damage identification …

Vibrational damage detection using fractal surface singularities with noncontact laser measurement

R Bai, W Ostachowicz… - Journal of Vibration …, 2016 - journals.sagepub.com
This study concerns damage detection in plate-type structures using fractal surface
singularities with noncontact laser measurement of structural dynamic responses. The fractal …

[HTML][HTML] Identification and diagnosis of concurrent faults in rotor-bearing system with WPT and zero space classifiers

F Jiang, Z Zhu, W Li, G Chen, G Zhou - Journal of Vibroengineering, 2014 - extrica.com
An effective method for identifying and diagnosing the concurrent fault combined by two or
more single faults is yet to be further developed because most existing approaches focus on …

基于加权倾角影响线的梁桥损伤识别方法.

袁雪松, 赵丽洁 - Fly Ash Comprehensive Utilization, 2022 - search.ebscohost.com
为了利用倾角影响线进行损伤识别, 由结构位移计算推导了简支梁支座处倾角影响线的解析式,
提出加权倾角影响线的概念, 将加权倾角影响线曲率指标作为标识量建立损伤识别理论 …

[HTML][HTML] The machine abnormal degree detection method based on SVDD and negative selection mechanism

H Zhang, S Liu, W Jiao, D Li, B Wang - Journal of Vibroengineering, 2013 - extrica.com
As is well-known, fault samples are essential for the fault diagnosis and anomaly detection,
but in most cases, it is difficult to obtain them. The negative selection mechanism of immune …

[PDF][PDF] 基于广义柔度曲率信息熵的梁结构损伤识别方法

项长生, 李凌云, 周宇, 王立宪, 吴侃 - 福州大学学报(自然科学版), 2020 - researchgate.net
结合广义柔度矩阵对低阶损伤模态的敏感性与信息熵对系统非线性显著的突显作用,
提出广义柔度曲率信息熵指标. 新指标以广义柔度曲率矩阵对角向量中每个元素与对角元素之和 …