Novel method for bearing performance degradation assessment – A kernel locality preserving projection-based approach

Sun, Chuang; Zhang, Zhousuo; He, Zhengjia; Shen, Zhongjie; Chen, Binqiang

doi:10.1177/0954406213486735

Cited by 25 publications

(18 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The WPRMS shape of the fault signal is quite different from that of the normal signal and many studies have been done based on RMS for fault diagnosis and performance degradation assessment [9,13,18]. As shown in Fig.…”

Section: Wprms-based Original Feature Setmentioning

confidence: 99%

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

Ding

Luo

2015

Journal of Sound and Vibration

View full text Add to dashboard Cite

Section: Wprms-based Original Feature Setmentioning

confidence: 99%

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

Ding

Luo

2015

Journal of Sound and Vibration

View full text Add to dashboard Cite

“…This experiment is a part of the bearing life prediction program tested on an aerospace bearing test rig held in Xi'an Jiaotong University [52,53]. The test rig is shown in Fig.…”

Section: Experimental Verificationmentioning

confidence: 99%

Dynamic Modeling and Vibration Response Simulation for High Speed Rolling Ball Bearings With Localized Surface Defects in Raceways

Niu

Cao

et al. 2014

Journal of Manufacturing Science and Engineering

Self Cite

View full text Add to dashboard Cite

A dynamic model is developed to investigate vibrations o f high speed rolling ball bear ings with localized surface defects on raceways. In this model, each bearing component (i.e., inner raceway, outer raceway and rolling ball) has six degrees o f freedom (DOFs) to completely describe its dynamic characteristics in three-dimensional space. Gyro scopic moment, centrifugal force, lubrication traction!slip between bearing component are included owing to high speed effects. Moreover, local defects are modeled accurately and completely with consideration o f additional deflection due to material absence, changes o f Hertzian contact coefficient and changes o f contact force directions due to raceway curvature variations. The obtained equations o f motion are solved numerically using the fourth order Runge-Kutta-Fehlberg scheme with step-changing criterion. Vibration responses o f a defective bearing with localized surface defects are simulated and analyzed in both time domain and frequency domain, and the effectiveness o f fault feature extraction techniques is also discussed. An experiment is carried out on an aero space bearing test rig. By comparing the simulation results with experiments, it is con firmed that the proposed model is capable o f predicting vibration responses o f defective high speed rolling ball bearings effectively.

show abstract

“…Objective function of PCA is an eigenvalue equation described as (33) where is the covariance matrix of the input data. and denote the eigenvalue and eigenvector, respectively.…”

Section: B a Bearing Casementioning

confidence: 99%

“…Siegel and Lee designed a framework for predicting helicopter rolling element bearing failure by means of the acceleration signals [31]. Shen and Sun proposed bearing degradation assessment methods based on vibration signal analysis [32], [33]. Wang analyzed transient components in vibration signals to identify machine health state [34], [35].…”

Section: Introductionmentioning

confidence: 99%

A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines

Sun

Cao

et al. 2015

IEEE Trans. Rel.

View full text Add to dashboard Cite

The aero-engine is the heart of an airplane. Operational reliability assessment that aims to identify the reliability level of the aero-engine in the service phase is of great significance for improving flight safety. Traditionally, reliability assessment is carried out by statistical analysis on large failure samples. Because the operational reliability of a specific aero-engine is an individual problem lacking statistical sample data, traditional reliability assessment methods may be insufficient to assess the operational reliability of an individual aero-engine. The operational states of the aero-engine can be identified by its condition information. Changes in the condition information reflect the performance degradation of the aero-engine. Aiming at the assessment of the operational reliability of individual aero-engines, a novel similarity index (SI) is proposed by analyzing the condition information from the fault-free state, and the current state. A condition subspace is first obtained by kernel principal component analysis (KPCA). Subspace similarity is then represented by subspace angles, i.e., kernel principal angles (KPAs). The cosine function is finally utilized as a mapping function to transform the subspace angles into a similarity index. The index can be used as a non-probabilistic metric for operational reliability assessment. Only the condition information is needed for computation of the similarity index,thus it can be performed conveniently for online assessment. The effectiveness of the proposed method is validated by three case studies regarding the health assessment of aero-engines subjected to system-level and component-level degradation. The positive results demonstrate that the proposed SI is an effective metric for operational reliability assessment of individual aero-engines.Index Terms-Condition information, individual aero-engine, non-probabilistic metric, operational reliability assessment, similarity index. ACRONYMS AND ABBREVIATIONS: CMCondition monitoring. DivKullback-Leibler divergence of the signal energy.

show abstract

Novel method for bearing performance degradation assessment – A kernel locality preserving projection-based approach

Cited by 25 publications

References 33 publications

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

Dynamic Modeling and Vibration Response Simulation for High Speed Rolling Ball Bearings With Localized Surface Defects in Raceways

A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines

Contact Info

Product

Resources

About