标题
Towards automated, integrated and unsupervised diagnosis of rolling element bearings
作者
关键词
-
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 203, Issue -, Pages 110691
出版商
Elsevier BV
发表日期
2023-09-05
DOI
10.1016/j.ymssp.2023.110691
参考文献
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。- A speed normalized autoencoder for rotating machinery fault detection under varying speed conditions
- (2023) Meng Rao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bearing signal models and their effect on bearing diagnostics
- (2022) P. Borghesani et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Automated Machine Health Monitoring at an Expert Level
- (2021) Nadine Martin et al. Acoustics Australia
- A Critical Overview of the “Filterbank-Feature-Decision” Methodology in Machine Condition Monitoring
- (2021) Jérôme Antoni Acoustics Australia
- A time series model-based method for gear tooth crack detection and severity assessment under random speed variation
- (2021) Yuejian Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Selection of the Informative Frequency Band in a Bearing Fault Diagnosis in the Presence of Non-Gaussian Noise—Comparison of Recently Developed Methods
- (2020) Justyna Hebda-Sobkowicz et al. Applied Sciences-Basel
- Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration Analysis-Case Study
- (2020) César Ricardo Soto-Ocampo et al. SENSORS
- NIC Methodology: A probabilistic methodology for improved informative frequency band identification by utilizing the available healthy historical data under time-varying operating conditions
- (2020) Willem N. Niehaus et al. JOURNAL OF SOUND AND VIBRATION
- A Switching Hidden Semi-Markov Model for Degradation Process and Its Application to Time-Varying Tool Wear Monitoring
- (2020) Tongshun Liu et al. IEEE Transactions on Industrial Informatics
- Self-running bearing diagnosis based on scalar indicator using fast order frequency spectral coherence
- (2019) Souhayb Kass et al. MEASUREMENT
- Diagnosis and Prognosis of Degradation Process via Hidden Semi-Markov Model
- (2018) Tongshun Liu et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Semi-automated diagnosis of bearing faults based on a hidden Markov model of the vibration signals
- (2018) Ge Xin et al. MEASUREMENT
- Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods
- (2018) Marco Buzzoni et al. SHOCK AND VIBRATION
- A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
- (2018) Biao Wang et al. IEEE TRANSACTIONS ON RELIABILITY
- CS2 analysis in presence of non-Gaussian background noise – Effect on traditional estimators and resilience of log-envelope indicators
- (2017) P. Borghesani et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Phase editing as a signal pre-processing step for automated bearing fault detection
- (2017) L. Barbini et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis
- (2016) Lingli Cui et al. JOURNAL OF SOUND AND VIBRATION
- Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings
- (2016) Ming Zhao et al. MEASUREMENT
- Automatic characteristic frequency association and all-sideband demodulation for the detection of a bearing fault
- (2016) Marcin Firla et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Quantitative fault analysis of roller bearings based on a novel matching pursuit method with a new step-impulse dictionary
- (2016) Lingli Cui et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
- (2015) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An integrated system for machine tool spindle head ball bearing fault detection and diagnosis
- (2013) Inigo Bediaga et al. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
- Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method
- (2013) ShuanFeng Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings
- (2013) P. Borghesani et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process
- (2013) Ramin Moghaddass et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition
- (2010) Irina Trendafilova MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing diagnostics—A tutorial
- (2010) Robert B. Randall et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Vibration response of spalled rolling element bearings: Observations, simulations and signal processing techniques to track the spall size
- (2010) N. Sawalhi et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Hidden semi-Markov models
- (2009) Shun-Zheng Yu ARTIFICIAL INTELLIGENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation