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 …

[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 …