4.7 Article

A two-stage sound-vibration signal fusion method for weak fault detection in rolling bearing systems

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method

Prem Shankar Kumar et al.

Summary: This paper proposes a prediction model for rolling element bearing fault or degradation trends using GPR, analyzing various kernel functions and introducing a hybrid metric for feature selection. The findings suggest that entropy features outperform statistical features in predicting bearing degradation trends.

ISA TRANSACTIONS (2021)

Article Engineering, Mechanical

Autocorrelated Envelopes for early fault detection of rolling bearings

Yuandong Xu et al.

Summary: Rolling element bearings are crucial components in rotating machines, and early fault detection is important to prevent typical failures. A detector based on Ensemble Average of Autocorrelated Envelopes (EAAE) is proposed in this paper to identify early occurrence faults, utilizing phase synchronization and ensemble average to enhance cyclostationary characteristics for fault detection. This detector shows high performance in extracting local fault signatures, verified by simulation signals and experimental investigations.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Artificial Intelligence

Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing

Shanshan Ji et al.

Summary: This study proposed a novel fault diagnosis method based on parallel sparse filtering for sparse feature extraction from acoustic signals, utilizing Z-score normalization to activate data. The results demonstrated the method's effectiveness in accurately extracting useful features for mechanical fault diagnosis.

NEUROCOMPUTING (2021)

Article Engineering, Multidisciplinary

A robust construction of normalized CNN for online intelligent condition monitoring of rolling bearings considering variable working conditions and sources

Bo Zhao et al.

Summary: A robust construction based on convolutional neural network (CNN) is established for the condition monitoring of rolling bearings, which can effectively extract features and construct health indicators, showing excellent performances in condition monitoring under variable working conditions and sources.

MEASUREMENT (2021)

Article Acoustics

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

Adam Glowacz et al.

Summary: This study focused on fault diagnosis of electric impact drills and angle grinders using acoustic signals. A method for feature extraction was proposed and classification was carried out using classifiers, achieving high classification accuracy.

APPLIED ACOUSTICS (2021)

Article Engineering, Electrical & Electronic

HLU2-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection

Zhouzhou Zheng et al.

Summary: This article introduces a new network for intelligent tire defect detection, which improves the accuracy and efficiency of defect detection by integrating features from multiple perspectives, guiding defect detection, emphasizing useful features, etc. Experimental results demonstrate that the proposed method outperforms state-of-the-art methods according to six evaluation metrics and can meet online visual detection on tire production line.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Chemistry, Multidisciplinary

Improved Empirical Wavelet Transform for Compound Weak Bearing Fault Diagnosis with Acoustic Signals

Chaoren Qin et al.

APPLIED SCIENCES-BASEL (2020)

Article Acoustics

Fibonacci array-based focused acoustic camera for estimating multiple moving sound sources

Wei Xiong et al.

JOURNAL OF SOUND AND VIBRATION (2020)

Article Engineering, Mechanical

Fault diagnosis of single-phase induction motor based on acoustic signals

Adam Glowacz

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Engineering, Mechanical

Classification of Ball Bearing Faults Using Vibro-Acoustic Sensor Data Fusion

R. S. Gunerkar et al.

EXPERIMENTAL TECHNIQUES (2019)

Article Engineering, Electrical & Electronic

Doppler Distortion Removal in Wayside Circular Microphone Array Signals

Kesai Ouyang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Article Engineering, Multidisciplinary

Multi-feature entropy distance approach with vibration and acoustic emission signals for process feature recognition of rolling element bearing faults

Cheng-Wei Fei et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)

Article Engineering, Multidisciplinary

Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD

Satish Mohanty et al.

MEASUREMENT (2018)

Article Engineering, Mechanical

Multi-bearing weak defect detection for wayside acoustic diagnosis based on a time-varying spatial filtering rearrangement

Shangbin Zhang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Review Engineering, Mechanical

Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques

S. Delvecchio et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Engineering, Mechanical

Fusion information entropy method of rolling bearing fault diagnosis based on n-dimensional characteristic parameter distance

Yan-Ting Ai et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Mechanical

Methodology for fault detection in induction motors via sound and vibration signals

Paulo Antonio Delgado-Arredondo et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Mechanical

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Chuan Li et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Engineering, Multidisciplinary

Gear fault diagnosis using active noise cancellation and adaptive wavelet transform

D. P. Jena et al.

MEASUREMENT (2014)

Article Acoustics

Vibration model of rolling element bearings in a rotor-bearing system for fault diagnosis

Feiyun Cong et al.

JOURNAL OF SOUND AND VIBRATION (2013)