ReviewSensors (Basel, Switzerland)2022
A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Low-Speed Fault Diagnosis of Machinery Based on Improved Spectral Amplitude Modulation with Advanced Denoising Methods.Sensors (Basel, Switzerland) · 2026Article
- An End-to-End Fault Diagnosis Model for Rolling Bearings Based on Multi-Scale Convolution and the Kolmogorov-Arnold Network.Sensors (Basel, Switzerland) · 2026Article
- Adaptive Resonance Demodulation for Bearing Fault Diagnosis via Spectral Trend Reconstruction and Weighted Logarithmic Energy Ratio.Sensors (Basel, Switzerland) · 2026Article
- Article
- AttenResNet18: A Novel Cross-Domain Fault Diagnosis Model for Rolling Bearings.Sensors (Basel, Switzerland) · 2025Article
- Ship Rolling Bearing Fault Identification Under Complex Operating Conditions: Multi-Domain Feature Extraction-Based LCM-HO Enhanced LSSVM Approach.Sensors (Basel, Switzerland) · 2025Article
- Fault Diagnosis of Rolling Bearings Based on HFMD and Dual-Branch Parallel Network Under Acoustic Signals.Sensors (Basel, Switzerland) · 2025Article
- Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders.Sensors (Basel, Switzerland) · 2023Article
- Design of Fire Risk Estimation Method Based on Facility Data for Thermal Power Plants.Sensors (Basel, Switzerland) · 2023Article
- Extreme-Low-Speed Heavy Load Bearing Fault Diagnosis by Using Improved RepVGG and Acoustic Emission Signals.Sensors (Basel, Switzerland) · 2023Article
- A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions.Sensors (Basel, Switzerland) · 2023Article
- Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings.Polymers · 2023Article
- Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings.Micromachines · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 capacity, high precision, low power consumption, and high mechanical efficiency. This paper reviews several excellent kinds of study and their relevance to the fault detection of rolling bearings. We summarize the fault location, sensor types, bearing fault types, and fault signal analysis of rolling bearings. The fault signal types are divided into one-dimensional and two-dimensional images, which account for 40.14% and 31.69%, respectively, and their classification is clarified and discussed. We counted the proportions of various methods in the references cited in this paper. Among them, the method of one-dimensional signal detection with external sensors accounted for 3.52%, the method of one-dimensional signal detection with internal sensors accounted for 36.62%, and the method of two-dimensional signal detection with external sensors accounted for 19.72%. The method of two-dimensional signal detection with internal sensors accounted for 11.97%. Among these methods, the highest detection rate is 100%, and the lowest detection rate is more than 70%. The similarities between the different methods are compared. The research results summarized in this paper show that with the progress of the times, a variety of new and better research methods have emerged, which have sped up the detection and diagnosis of rolling bearing faults. For example, the technology using artificial intelligence is still developing rapidly, such as artificial neural networks, convolutional neural networks, and machine learning. Although there are still defects, such methods can quickly discover a fault and its cause, enrich the database, and accumulate experience. More and more advanced techniques are applied in this field, and the detection method has better robustness and superiority.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.