4.6 Article

Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Sparse representation of parametric dictionary based on fault impact matching for wheelset bearing fault diagnosis

Feiyue Deng et al.

Summary: This study proposes a novel parametric dictionary design algorithm, FIMA, combined with the OMP algorithm to detect the weak faults of wheelset bearings. Through partial segmentation and global analysis, the CF and kurtosis indexes are used to evaluate the matching degree between the signal and Laplace wavelet in a comprehensive way.

ISA TRANSACTIONS (2021)

Article Engineering, Mechanical

Fault mechanism and dynamic modeling of planetary gear with gear wear

Zhixian Shen et al.

Summary: This paper analyzes the fault mechanism and dynamic characteristics of gear wear, proposing a purely torsional dynamic model of planetary gear with gear wear. The study provides a basis for vibration-based fault diagnosis and monitoring of gear wear, showing how gear wear can affect planetary gear dynamic parameters.

MECHANISM AND MACHINE THEORY (2021)

Article Engineering, Mechanical

Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

Ke Feng et al.

Summary: A vibration-based wear mechanism identification method is proposed in this paper, which tracks the evolution of fatigue pitting and abrasive wear through the gearmesh-modulated properties of vibration signals. The effectiveness of this method in identifying and tracking fatigue pitting and abrasive wear has been validated in lubricated and dry tests.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Automation & Control Systems

Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction

Quanchang Li et al.

Summary: This article proposes a convolutional sparse self-learning (CSSL) method for adaptive feature enhancement. By using image sparse processing and manifold sensing, desired morphological structures are represented and mined effectively, leading to superior performance in analyzing defective bearing data with transient features enhancement.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Acoustics

Analytical vibration signal model and signature analysis in resonance region for planetary gearbox fault diagnosis

Xinnan Yu et al.

Summary: The paper proposes a method for diagnosing planetary gearbox faults in the resonance region, taking into account the complex components and multi-modulations of vibration signals. By utilizing the time-invariability of resonance frequency and sideband symmetry around resonance frequency, gear fault information can be effectively extracted. The proposed method is validated through numerical simulation and lab experiments, demonstrating the extraction of gear fault features in the resonance region under time-varying speed conditions.

JOURNAL OF SOUND AND VIBRATION (2021)

Article Engineering, Mechanical

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

Gabor Manhertz et al.

Summary: The paper introduces a method to extract vibration components from high-resolution STFT spectrograms for transient analysis on rotating machines. An improved STFT algorithm efficiently allocates and utilizes computational memory. The resulting grey-scale image is used for further analysis, with the possibility of real-time condition monitoring based on basic vibration measurement.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Automation & Control Systems

Application of sparsity-oriented VMD for gearbox fault diagnosis based on built-in encoder information

Yonghao Miao et al.

ISA TRANSACTIONS (2020)

Article Engineering, Electrical & Electronic

Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis

Ning Li et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Automation & Control Systems

Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction

Sheng Xiang et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

Article Computer Science, Information Systems

Gear Fault Feature Extraction Based on Fuzzy Function and Improved Hu Invariant Moments

Chun Lv et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery

Shengnan Tang et al.

IEEE ACCESS (2020)

Article Engineering, Electrical & Electronic

Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis

Lin Wang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Article Engineering, Electrical & Electronic

Weak Crack Detection for Gearbox Using Sparse Denoising and Decomposition Method

Qing Li et al.

IEEE SENSORS JOURNAL (2019)

Article Engineering, Mechanical

Sparse representation based on parametric impulsive dictionary design for bearing fault diagnosis

Ruo-Bin Sun et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Engineering, Mechanical

Phenomenon-model-based AM-FM vibration mechanism of faulty spur gear

Xiaoqing Yang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Computer Science, Information Systems

A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning

Yumei Qi et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis

Xin Huang et al.

IEEE ACCESS (2019)

Article Automation & Control Systems

A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis

Yi Qin

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Engineering, Multidisciplinary

Gear Fault Diagnosis Based on Dual Parameter Optimized Resonance-Based Sparse Signal Decomposition of Motor Current

Na Chai et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

Gearbox fault classification using dictionary sparse based representations of vibration signals

Ruben Medina et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)

Article Engineering, Multidisciplinary

Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox

T. Praveenkumar et al.

MEASUREMENT (2018)

Article Engineering, Mechanical

Gearbox coupling modulation separation method based on match pursuit and correlation filtering

Guolin He et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Engineering, Electrical & Electronic

Empirical mode decomposition of acoustic signals for diagnosis of faults in gears and rolling element bearings

M. Amarnath et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2012)