Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

D Ibarra-Zarate, O Tamayo-Pazos… - … International Journal of …, 2019 - Springer
In this study, an experimental system was built to acquire vibration and acoustic emission
(AE) signals from faulted bearings methodology based on cepstrum pre-whitening (CPW) …

Recognition of rotor damages in a DC motor using acoustic signals

A Głowacz, Z Głowacz - Bulletin of the Polish Academy of …, 2017 - yadda.icm.edu.pl
Diagnosis of electrical direct current motors is essential for industrial plants. The emphasis is
put on the development of diagnostic methods of solutions for capturing, processing and …

Complex scale feature extraction for gearbox via adaptive multi-mode manifold learning

L Dai, Q Li, Y Chen, X Ding, W Huang, Y Shao - Measurement, 2021 - Elsevier
The transient impacts with sideband modulation caused by some fault of gearbox are the
technical basis for fault diagnosis, which will be inevitably interfered by heavy background …

[KIRJA][B] Advances in fault detection and diagnosis using filtering analysis

Z Wang, Y Wang, Z Ji - 2022 - Springer
With the further development of industrialization, the scale of electric power [1], chemical
industry [2], machinery [3] and other industries has been expanding, and the system …

Features of the application of the principal component method to the study of acoustic emission signals under loading of multilayer structures

P Louda, O Sharko, D Stepanchikov… - … “Intellectual Systems of …, 2022 - Springer
From the standpoint of fundamental consideration of experimental data on the loading
kinetics of multilayer continuums based on mechanical tests and acoustic emission …

Time-frequency synthesis analysis for complex signal of rotating machinery via variational mode manifold reinforcement learning

Q Li, X Ding, T Wang, M Zhang… - Proceedings of the …, 2020 - journals.sagepub.com
The transient signal caused by localized fault in rotating machinery always contains complex
modulation information with heavy background noise distributed, which brings much …

A comparative study of acoustic and vibration signals for bearing fault detection and diagnosis based on MSB analysis

A Daraz, S Alabied, F Gu, AD Ball - International Conference on …, 2020 - Springer
Bearing is of a crucial part/element of all rotating machines. The main purpose of the rolling
element in any rotating machine is to maintain rotating parts in their correct arrangement …

Fault Diagnosis of Bearing by Utilizing LWT‐SPSR‐SVD‐Based RVM with Binary Gravitational Search Algorithm

S Fei - Shock and Vibration, 2018 - Wiley Online Library
The fault diagnosis method of bearing based on lifting wavelet transform (LWT)‐self‐
adaptive phase space reconstruction (SPSR)‐singular value decomposition (SVD)‐based …

Orthotopic‐filtering‐based hierarchical fault diagnosis algorithm for linear recursive models

Z Wang, G Xu, Y Wang, JH Park… - IET Control Theory & …, 2020 - Wiley Online Library
An orthotopic‐filtering‐based hierarchical fault diagnosis algorithm is proposed for complex
systems with multiple fault types. The given algorithm uses an orthotopic method to describe …

[HTML][HTML] An Intelligent Monitoring Network for Detection of Cracks in Anvils of High-Press Apparatus

H Tian, Z Yan, J Yang - Sensors, 2018 - mdpi.com
Due to the endurance of alternating high pressure and temperature, the carbide anvils of the
high-press apparatus, which are widely used in the synthetic diamond industry, are prone to …