A speed normalized autoencoder for rotating machinery fault detection under varying speed conditions

M Rao, MJ Zuo, Z Tian - Mechanical Systems and Signal Processing, 2023 - Elsevier
Rotating machinery often operates under varying speed conditions. Fault detection is
necessary to prevent sudden failures and enable condition-based maintenance. Existing …

Deep learning enabled intelligent fault diagnosis: Overview and applications

L Duan, M Xie, J Wang, T Bai - Journal of Intelligent & Fuzzy …, 2018 - content.iospress.com
With movement toward complication and automation, modern machinery equipment
encounters the problems of diversity and complex origination of faults, incipient weak faults …

[HTML][HTML] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging

LI Yongbo, DU Xiaoqiang, WAN Fangyi… - Chinese Journal of …, 2020 - Elsevier
Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating
machinery is vital in manufacturing system, which can prevent catastrophic failure and …

Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network

S Liu, Z Ji, Y Wang, Z Zhang, Z Xu, C Kan… - Computer Communications, 2021 - Elsevier
The fast and efficient fault diagnosis is the key to guarantee uninterrupted working of
facilities, which is more frugal and trustworthy than scheduled upkeep. At present, data …

An integrated multi-sensor fusion-based deep feature learning approach for rotating machinery diagnosis

J Liu, Y Hu, Y Wang, B Wu, J Fan… - … Science and Technology, 2018 - iopscience.iop.org
The diagnosis of complicated fault severity problems in rotating machinery systems is an
important issue that affects the productivity and quality of manufacturing processes and …

Convolutional neural network based fault detection for rotating machinery

O Janssens, V Slavkovikj, B Vervisch… - Journal of Sound and …, 2016 - Elsevier
Vibration analysis is a well-established technique for condition monitoring of rotating
machines as the vibration patterns differ depending on the fault or machine condition …

[PDF][PDF] Vibration feature extraction and analysis for fault diagnosis of rotating machinery-a literature survey

S Riaz, H Elahi, K Javaid, T Shahzad - Asia Pacific Journal of …, 2017 - academia.edu
Safety, reliability, efficiency and performance of rotating machinery in all industrial
applications are the main concerns. Rotating machines are widely used in various industrial …

An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network

B Peng, H Xia, X Lv, M Annor-Nyarko, S Zhu, Y Liu… - Applied …, 2022 - Springer
Rotating machinery is a very important mechanical device widely used in critical industrial
applications. Efficient fault detection and diagnosis are key challenges in the maintenance …

A review: multiplicative faults and model-based condition monitoring strategies for fault diagnosis in rotary machines

P Kumar, R Tiwari - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
In the present review article, the research findings in the field of investigating the vibrational
nature of the rotating machineries under the influence of multiplicative faults and their …

A new approach to intelligent fault diagnosis of rotating machinery

Y Lei, Z He, Y Zi - Expert Systems with applications, 2008 - Elsevier
This paper presents a new approach to intelligent fault diagnosis based on statistics
analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference …