4.7 Article

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

Related references

Note: Only part of the references are listed.
Article Engineering, Mechanical

Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum

Lang Xu et al.

Summary: A new method combining singular value decomposition and squared envelope spectrum for bearing fault diagnosis is proposed in this paper, and its effectiveness is demonstrated through the evaluation of actual vibration signals.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Automation & Control Systems

A Bearing Fault Diagnosis Method Based on Enhanced Singular Value Decomposition

Hua Li et al.

Summary: The study introduces an enhanced SVD method E-SVD to address the issues with SVD, achieving superior signal reconstruction and noise reduction effects through the combination of ISVD and IWPT. Additionally, an evaluation indicator is introduced to assess the performance of the results.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Engineering, Mechanical

Investigations on quasi-arithmetic means for machine condition monitoring

Bingchang Hou et al.

Summary: This paper investigates the use of quasi-arithmetic means (QAMs) and sparsity measures for constructing a health index for machine condition monitoring. Experimental results demonstrate that the proposed framework can detect faults, exhibit degradation tendencies, and be robust to impulsive noises, outperforming existing sparsity measures.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Automation & Control Systems

Sparse Elitist Group Lasso Denoising in Frequency Domain for Bearing Fault Diagnosis

Kai Zheng et al.

Summary: This study proposed a new denoising algorithm in the frequency domain to address the interference of background noise and harmonic components on the impulse responses of bearing fault. By exploring the sparse characteristics of the signals and tailoring a denoising model, the algorithm successfully extracted fault features robustly and effectively.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Engineering, Electrical & Electronic

Time-Varying Envelope Filtering for Exhibiting Space Bearing Cage Fault Features

Sha Wei et al.

Summary: Rolling bearing cage failure can lead to machine breakdown, with fault diagnosis of space bearing cage being a challenging topic. The proposed TVEF method accurately extracts the fault features of space bearing cage, demonstrating potential and effectiveness in experiments.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Automation & Control Systems

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

Ruonan Liu et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Automation & Control Systems

Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band

Yonghao Miao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Engineering, Mechanical

Order spectrogram visualization for rolling bearing fault detection under speed variation conditions

Yi Wang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Engineering, Mechanical

General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

Zongzhen Zhang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Engineering, Mechanical

A statistical methodology for the design of condition indicators

Jerome Antoni et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Automation & Control Systems

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

Minghang Zhao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Engineering, Multidisciplinary

Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification

Yonghao Miao et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2017)

Article Automation & Control Systems

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

Yaguo Lei et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Review Engineering, Mechanical

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

Yanxue Wang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Green & Sustainable Science & Technology

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

Jinglong Chen et al.

RENEWABLE ENERGY (2016)

Article Engineering, Electrical & Electronic

Variational Mode Decomposition

Konstantin Dragomiretskiy et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)

Review Engineering, Multidisciplinary

Condition monitoring and fault diagnosis of planetary gearboxes: A review

Yaguo Lei et al.

MEASUREMENT (2014)

Article Engineering, Electrical & Electronic

Empirical Wavelet Transform

Jerome Gilles

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2013)

Article Engineering, Mechanical

Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection

Geoff L. McDonald et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)

Review Engineering, Mechanical

Rolling element bearing diagnostics-A tutorial

Robert B. Randall et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)

Article Computer Science, Information Systems

Comparing Measures of Sparsity

Niall Hurley et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2009)

Article Acoustics

A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection

I. Soltani Bozchalooi et al.

JOURNAL OF SOUND AND VIBRATION (2007)

Article Engineering, Mechanical

Fast computation of the kurtogram for the detection of transient faults

Jerome Antoni

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)

Article Engineering, Mechanical

The spectral kurtosis: a useful tool for characterising non-stationary signals

J Antoni

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)

Article Engineering, Mechanical

Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation)

F Bonnardot et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2005)

Article Automation & Control Systems

Feature generation using genetic programming with application to fault classification

H Guo et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2005)