A review on rolling bearing fault signal detection methods based on different sensors

G Wu, T Yan, G Yang, H Chai, C Cao - Sensors, 2022 - mdpi.com
As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …

Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review

Y Sun, W Wang - Engineering Failure Analysis, 2023 - Elsevier
In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds

Y Li, X Zhang, Z Chen, Y Yang, C Geng… - Mechanical Systems and …, 2023 - Elsevier
For a rotary machine vibration signal collected under variable speed conditions, its time–
frequency representation (TFR) contains abundant oscillatory components with time-varying …

Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects

A Kumar, Y Zhou, J Xiang - Measurement, 2021 - Elsevier
In this work, genetic algorithm (GA), kernel based mutual information (KEMI) fitness function
and variational mode decomposition (VMD) based strategy is proposed for the purpose of …

An analytical calculation method of the load distribution and stiffness of an angular contact ball bearing

J Liu, C Tang, H Wu, Z Xu, L Wang - Mechanism and Machine Theory, 2019 - Elsevier
Performances and working life of angular contact ball bearings (ACBB) are determined by
their internal load distribution and stiffness. To obtain accurate calculation results of the load …

[HTML][HTML] STFT spectrogram based hybrid evaluation method for rotating machine transient vibration analysis

G Manhertz, A Bereczky - Mechanical Systems and Signal Processing, 2021 - Elsevier
The main purpose of this paper is to represent a methodenabling vibration components to
be extracted from a high-resolution Short-Time Fourier-Transformation (STFT) based …

Automated and adaptive ridge extraction for rotating machinery fault detection

Y Li, Y Yang, K Feng, MJ Zuo… - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
A ridge in a time-frequency graph (TFG) describes the relationship of a signal component's
instantaneous frequencies over time. Accurate ridge extraction from TFGs is beneficial for …

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

L Chen, G Xu, S Zhang, W Yan, Q Wu - Journal of Manufacturing Systems, 2020 - Elsevier
In the field of prognostic and health management of engineered systems, health indicator
construction of bearings is one of the most significant and challenging problems. Many data …

Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis

B Hou, D Wang, Y Chen, H Wang, Z Peng… - Mechanical Systems and …, 2022 - Elsevier
Bearings are key components of rotating machines, and their condition monitoring and fault
diagnosis have received much attention from academia and industry in recent years …

Use of vibration signal to estimate instantaneous angular frequency under strong nonstationary regimes

Y Li, C Geng, MJ Zuo, X Liang - Mechanical Systems and Signal …, 2023 - Elsevier
Instantaneous angular frequency (IAF) is an inherent characteristic associated with
mechanical dynamics and contains adequate diagnostic information about rotating …