Novel Time-Frequency Mode Decomposition and Information Fusion for Bearing Fault Diagnosis Under Varying-Speed Condition

Article Automation & Control Systems

Sparse and low-rank decomposition of the time-frequency representation for bearing fault diagnosis under variable speed conditions

Ran Wang et al.

Summary: This study proposes a sparse and low-rank decomposition method for bearing fault detection, which effectively denoises the signals and highlights the fault characteristics.

ISA TRANSACTIONS (2022)

Add to Collection

Article Automation & Control Systems

Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions

Yifan Li et al.

Summary: This paper introduces an improved Cost Function Ridge Detection (ICFRD) method and an Iterative Characteristic Ridge Extraction (ICRE) strategy to estimate bearing fault characteristic orders by calculating the average frequency ratios between characteristic ridges, achieving the detection of bearing faults. The performance of the proposed method outperforms the conventional CFRD in detecting bearing faults under variable speed conditions, with much smaller average relative errors between extracted instantaneous frequencies and theoretical ones.

ISA TRANSACTIONS (2022)

Add to Collection

Article Acoustics

Rolling element bearing multi-fault diagnosis using morphological joint time-frequency adaptive kernel-based semi-smart framework

Sunil Lonare et al.

Summary: The wavelet transform is a modern time-frequency analysis method used for localized fault detection in rolling element bearings. The development of a morphological joint time-frequency adaptive kernel-based framework has successfully tackled the challenge of multi-fault detection by detecting low severity single faults and locating faults in multi-fault scenarios.

JOURNAL OF VIBRATION AND CONTROL (2022)

Add to Collection

Article Engineering, Mechanical

A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings

Yifei Ding et al.

Summary: This paper introduces a novel time-frequency Transformer model to address the shortcomings of traditional models, demonstrating superior fault diagnosis performance in comparison with benchmark models and other state-of-the-art methods.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Add to Collection

Article Engineering, Mechanical

Dynamic characteristics of ball bearing-coupling-rotor system with angular misalignment fault

Pengfei Wang et al.

Summary: The rotor misalignment fault is a common fault in rotating machinery systems, which has a significant impact on the dynamic characteristics of the system, especially in the low-speed range. Bearing misalignment should not be ignored and needs to be considered in modeling. Misalignment causes periodic changes in bearing contact angle, radial clearance, and ball rotational speed, as well as increasing the critical speed and axial vibration of the system.

NONLINEAR DYNAMICS (2022)

Add to Collection

Article Engineering, Mechanical

Adaptive high-resolution order spectrum for complex signal analysis of rotating machinery: Principle and applications

Xinnan Yu et al.

Summary: Order spectrum analysis is a commonly used method for analyzing vibration signals in rotating machinery under nonstationary conditions. However, the conventional order spectrum has limitations due to the inconvenience of installation, disturbances from speed-irrelative components, and resampling errors. To address these issues, this paper proposes an adaptive high-resolution order spectrum method that can accurately identify rotating frequency orders under nonstationary conditions.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Add to Collection

Article Engineering, Electrical & Electronic

An Early Fault Detection Method of Rotating Machines Based on Unsupervised Sequence Segmentation Convolutional Neural Network

Wenbin Song et al.

Summary: This article proposes a novel early fault detection method based on an unsupervised sequence segmentation convolutional neural network (USSCNN). By extracting frequency-domain features and using a CNN classifier, this method can detect early faults earlier and reduce false alarms.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Matching Synchroextracting Transform for Mechanical Fault Diagnosis Under Variable-Speed Conditions

Yubo Ma et al.

Summary: In this study, a new fault diagnosis technique based on MSET is proposed, which achieves the fault diagnosis of variable-speed machinery by introducing strategies such as demodulation filtering and order analysis. The effectiveness of the proposed technique is verified through simulation studies.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Add to Collection

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)

Add to Collection

Article Engineering, Multidisciplinary

Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition

Jianhua Yang et al.

Summary: This paper proposes a method based on FRFT and SR to extract bearing fault features, successfully diagnosing scratches and removing noise interference in unknown situations. The method may provide reference for fault diagnosis in engineering occasions.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Entropy Measures in Machine Fault Diagnosis: Insights and Applications

Zhiqiang Huo et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

Article Engineering, Multidisciplinary

Application of tentative variational mode decomposition in fault feature detection of rolling element bearing

Tingkai Gong et al.

MEASUREMENT (2019)

Add to Collection

Article Engineering, Mechanical

Local maximum synchrosqueezing transform: An energy-concentrated time-frequency analysis tool

Gang Yu et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Add to Collection

Article Acoustics

High-accuracy fault feature extraction for rolling bearings under time-varying speed conditions using an iterative envelope-tracking filter

Shiqian Chen et al.

JOURNAL OF SOUND AND VIBRATION (2019)

Add to Collection

Article Engineering, Multidisciplinary

Optimized LMD method and its applications in rolling bearing fault diagnosis

Yonggang Xu et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2019)

Add to Collection

Review Engineering, Electrical & Electronic

Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis

Siliang Lu et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Add to Collection

Article Automation & Control Systems

Time-frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets

Xin Zhang et al.

ISA TRANSACTIONS (2019)

Add to Collection

Article Engineering, Multidisciplinary

Early fault diagnosis of bearing based on frequency band extraction and improved tunable Q-factor wavelet transform

Ping Ma et al.

MEASUREMENT (2019)

Add to Collection

Article Acoustics

Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction

Huan Huang et al.

JOURNAL OF SOUND AND VIBRATION (2018)

Add to Collection

Article Acoustics

Operating characteristic information extraction of flood discharge structure based on complete ensemble empirical mode decomposition with adaptive noise and permutation entropy

Jianwei Zhang et al.

JOURNAL OF VIBRATION AND CONTROL (2018)

Add to Collection

Article Automation & Control Systems

Synchroextracting Transform

Gang Yu et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)

Add to Collection

Article Acoustics

Generalized stepwise demodulation transform and synchrosqueezing for time-frequency analysis and bearing fault diagnosis

Juanjuan Shi et al.

JOURNAL OF SOUND AND VIBRATION (2016)

Add to Collection

Article Engineering, Mechanical

Fault detection in rotor bearing systems using time frequency techniques

N. Harish Chandra et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Extraction of instantaneous frequencies from ridges in time-frequency representations of signals

D. Iatsenko et al.

SIGNAL PROCESSING (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations

Thomas Oberlin et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Variational Mode Decomposition

Konstantin Dragomiretskiy et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)

Add to Collection

Article Engineering, Mechanical

Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis

Tianyang Wang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2014)

Add to Collection

Article Engineering, Mechanical

The velocity synchronous discrete Fourier transform for order tracking in the field of rotating machinery

P. Borghesani et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2014)

Add to Collection

Article Engineering, Mechanical

Diagnostics of bearings in presence of strong operating conditions non-stationarity-A procedure of load-dependent features processing with application to wind turbine bearings

Radoslaw Zimroz et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2014)

Add to Collection

Article Engineering, Electrical & Electronic

Enhanced Cohen class time-frequency methods based on a structure tensor analysis: Applications to ISAR processing

Vincent Corretja et al.

SIGNAL PROCESSING (2013)

Add to Collection

Article Engineering, Electrical & Electronic

STFT With Adaptive Window Width Based on the Chirp Rate

Soo-Chang Pei et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Cross-term elimination in Wigner distribution based on 2D signal processing techniques

Nabeel Ali Khan et al.

SIGNAL PROCESSING (2011)

Add to Collection

Article Engineering, Biomedical

Compression of biomedical signals with mother wavelet optimization and best-basis wavelet packet selection

Laurent Brechet et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2007)

Add to Collection

Article Engineering, Electrical & Electronic

A new technique to reduce cross terms in the Wigner distribution

Ram Bilas Pachori et al.

DIGITAL SIGNAL PROCESSING (2007)

Add to Collection

Novel Time-Frequency Mode Decomposition and Information Fusion for Bearing Fault Diagnosis Under Varying-Speed Condition

Related references

Export Citation

Share Paper