Modified varying index coefficient autoregression model for representation of the nonstationary vibration from a planetary gearbox

Y Chen, M Rao, K Feng, G Niu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Planetary gearbox fault detection is important in terms of life-threatening failure prevention
and maintenance optimization. This article focuses on the representation of the planetary …

A review on fatigue monitoring of structures

N García-Fernández, M Aenlle… - International Journal of …, 2023 - emerald.com
A review on fatigue monitoring of structures | Emerald Insight Books and journals Case studies
Expert Briefings Open Access Publish with us Advanced search A review on fatigue monitoring …

Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines

LD Avendano-Valencia, EN Chatzi… - Mechanical Systems and …, 2020 - Elsevier
The analysis presented in this work relates to the quantification of the effect of a selected set
of measured Environmental and Operational Parameters (EOPs) on the dynamic properties …

[HTML][HTML] A time series model-based method for gear tooth crack detection and severity assessment under random speed variation

Y Chen, S Schmidt, PS Heyns, MJ Zuo - Mechanical Systems and Signal …, 2021 - Elsevier
In industry (eg, wind power), gearboxes often operate under random speed variations. A
condition monitoring system is expected to detect faults and assess their severity using …

A sparse multivariate time series model-based fault detection method for gearboxes under variable speed condition

Y Chen, MJ Zuo - Mechanical Systems and Signal Processing, 2022 - Elsevier
Gearboxes often operate under variable speed condition which makes the collected
vibration signal, a widely employed type of condition monitoring data, becomes non …

Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions

O Sedehi, C Papadimitriou, LS Katafygiotis - Mechanical Systems and …, 2019 - Elsevier
A new time-domain hierarchical Bayesian framework is proposed to improve the
performance of Bayesian methods in terms of reliability and robustness of estimates …

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

KJ Vamvoudakis-Stefanou, JS Sakellariou… - … Systems and Signal …, 2018 - Elsevier
The problem of vibration-based damage detection for a population of nominally identical
structures is considered via unsupervised statistical time series type methods. For this …

Deep learning for seismic structural monitoring by accounting for mechanics-based model uncertainty

M Cheraghzade, M Roohi - Journal of Building Engineering, 2022 - Elsevier
This paper presents a hybrid deep learning methodology for seismic structural monitoring,
damage detection, and localization of instrumented buildings. The proposed methodology …

[HTML][HTML] Gaussian process time-series models for structures under operational variability

LD Avendaño-Valencia, EN Chatzi, KY Koo… - Frontiers in Built …, 2017 - frontiersin.org
A wide range of vibrating structures are characterized by variable structural dynamics
resulting from changes in environmental and operational conditions, posing challenges in …

Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions

Y Ren, L Qiu, S Yuan, F Fang - Mechanical Systems and Signal Processing, 2020 - Elsevier
In the field of structural health monitoring (SHM) of aircraft composite structures,
piezoelectric sensor network and guided wave (GW) based imaging method has proved to …