Towards automated, integrated and unsupervised diagnosis of rolling element bearings

Y Jin, G Xin, J Antoni - Mechanical Systems and Signal Processing, 2023 - Elsevier
In the presence of faults, vibrations of rolling element bearings show symptomatic signatures
in the form of repetitive impulses. This can be seen as a non-stationary signal whose …

An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions

S Schmidt, PS Heyns, KC Gryllias - Mechanical Systems and Signal …, 2021 - Elsevier
The application of informative frequency band identification methods makes it possible to
enhance weak damage components in the vibration signals acquired from rotating …

[HTML][HTML] An anomalous frequency band identification method utilising available healthy historical data for gearbox fault detection

S Schmidt, KC Gryllias - Measurement, 2023 - Elsevier
Informative frequency band identification methods are used to automatically design
bandpass filters to enhance fault signatures in vibration measurements. Blind and targeted …

A combined deep learning model for damage size estimation of rolling bearing

L Xiyang, C Guo, H Tengfei… - International Journal of …, 2023 - journals.sagepub.com
The identification of damage sizes based on vibration monitoring data is significant in the
study of fault evolution, prediction and diagnosis of rolling bearing. There are inherent …

Enspectrumix: Novel adaptive methodology for fault component extraction from vibration mixtures

B Hou, M Xie, Z Peng, D Wang - Mechanical Systems and Signal …, 2024 - Elsevier
Abstract Machine condition monitoring is important in industry to monitor machine health
conditions and avoid unexpected machine breakdowns. Vibration mixtures contain sufficient …

[PDF][PDF] 基于卷积双向长短期记忆网络的轴承故障尺寸估计

刘西洋, 陈果, 郝腾飞, 潘文平 - Journal of Aerospace Power, 2023 - jasp.com.cn
基于振动监测数据的航空发动机滚动轴承损伤大小识别, 对于研究滚动轴承故障演化,
故障预测和故障诊断具有重要意义. 针对传统模型对先验知识依赖性高, 特征提取不充分 …

基于1DCNN-BiLSTM 的端到端滚动轴承故障诊断方法.

徐行, 李军星, 贾现召, 邱明 - Machine Tool & Hydraulics, 2024 - search.ebscohost.com
针对滚动轴承早期故障诊断时时频域特征选取主观性强, 时序特征信息利用不足等问题,
提出一种基于卷积神经网络和双向长短时记忆神经网络的滚动轴承早期故障诊断方法 …

Integrated auto-diagnosis based on stochastic model for rolling element bearings

Y Jin - 2022 - theses.hal.science
Today, the most fundamental issue of condition monitoring in most industrial plants is fault
diagnostics and prognostics. One of the most effective approaches to investigate this issue is …

[PDF][PDF] Integrated auto-diagnosis based on stochastic model for rolling element bearings

K GRYLLIAS - 2022 - theses.insa-lyon.fr
Today, the most fundamental issue of condition monitoring in most industrial plants is fault
diagnostics and prognostics. One of the most effective approaches to investigate this issue is …

Perkembangan Industri Tahu Bungkeng di Kabupaten Sumedang Tahun 1990-2000

NW Pramesti, MR Adawiyah… - Pubmedia Social …, 2024 - digital-science.pubmedia.id
Kabupaten sumedang merupakan daerah yang sangat identik dengan tahu, kuliner khas
daerah tersebut. Tahu sumedang tidak hanya menjadi kuliner di kabupaten sumedang …