A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

A Cubillo, S Perinpanayagam… - Advances in …, 2016 - journals.sagepub.com
Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Z Duan, T Wu, S Guo, T Shao, R Malekian… - The International Journal of …, 2018 - Springer
A rolling bearing is an essential component of a rotating mechanical transmission system. Its
performance and quality directly affects the life and reliability of machinery. Bearings' …

Failure diagnosis using deep belief learning based health state classification

P Tamilselvan, P Wang - Reliability Engineering & System Safety, 2013 - Elsevier
Effective health diagnosis provides multifarious benefits such as improved safety, improved
reliability and reduced costs for operation and maintenance of complex engineered systems …

An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples

J Wang, Y Liang, Y Zheng, RX Gao, F Zhang - Renewable energy, 2020 - Elsevier
Predictive maintenance has raised much research interest to improve the system reliability
of a wind turbine. This paper presents a new model based approach of integrated fault …

Residual life predictions from vibration-based degradation signals: a neural network approach

N Gebraeel, M Lawley, R Liu… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
Maintenance of mechanical and rotational equipment often includes bearing inspection
and/or replacement. Thus, it is important to identify current as well as future conditions of …

Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods

R Huang, L Xi, X Li, CR Liu, H Qiu, J Lee - Mechanical systems and signal …, 2007 - Elsevier
This paper deals with a new scheme for the prediction of a ball bearing's remaining useful
life based on self-organizing map (SOM) and back propagation neural network methods …

Two-stage physics-based Wiener process models for online RUL prediction in field vibration data

B Yan, X Ma, G Huang, Y Zhao - Mechanical Systems and Signal …, 2021 - Elsevier
Due to most failure mechanisms, such as fatigue crack growth and fatigue spall, the
degradation process of rotating machinery commonly exhibits two-stage features in …

[PDF][PDF] Development of acoustic emission technology for condition monitoring and diagnosis of rotating machines: bearings, pumps, gearboxes, engines, and rotating …

D Mba, RBKN Rao - 2006 - asco-arb.at
One of the earliest documented applications of acoustic emission technology (AET) to
rotating machinery monitoring was in the late 1960s. Since then, there has been an …

Sensory-updated residual life distributions for components with exponential degradation patterns

N Gebraeel - IEEE Transactions on Automation Science and …, 2006 - ieeexplore.ieee.org
Research on interpreting data communicated by smart sensors and distributed sensor
networks, and utilizing these data streams in making critical decisions stands to provide …

An improved analytical model for a lubricated roller bearing including a localized defect with different edge shapes

J Liu, Y Shao - Journal of Vibration and Control, 2018 - journals.sagepub.com
Vibrations of a roller bearing (RB) with a localized defect (LOD) are determined by LOD
edge shapes, which can be used to detect and diagnose the LODs. Therefore, it is very …