Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
Condition based maintenance of machine tools—A review
During the operation, machines generate vibrations which result in deterioration of machine
tools eventually causing failure of some subsystems or the machine itself. The vibration …
tools eventually causing failure of some subsystems or the machine itself. The vibration …
Modified varying index coefficient autoregression model for representation of the nonstationary vibration from a planetary gearbox
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 …
and maintenance optimization. This article focuses on the representation of the planetary …
Structural Health Monitoring using deep learning with optimal finite element model generated data
Abstract Identifying damage through Structural Health Monitoring (SHM) methods is
increasingly attracting attention due to multiple maintenance and failure prevention …
increasingly attracting attention due to multiple maintenance and failure prevention …
Entropy based fault classification using the Case Western Reserve University data: A benchmark study
Fault diagnosis of bearings using classification techniques plays an important role in
industrial applications, and, hence, has received increasing attention. Recently, significant …
industrial applications, and, hence, has received increasing attention. Recently, significant …
Damage detection sensitivity characterization of acousto-ultrasound-based structural health monitoring techniques
V Janapati, F Kopsaftopoulos, F Li… - Structural Health …, 2016 - journals.sagepub.com
Reliability quantification is a critical and necessary process for the evaluation and
assessment of any inspection technology that may be classified either as a nondestructive …
assessment of any inspection technology that may be classified either as a nondestructive …
Sparse time series modeling of the baseline vibration from a gearbox under time-varying speed condition
Time series model-based approach (TSMBA) is promising in processing vibration signals
and assessing the health condition of gearboxes. Accurate time series modeling of the …
and assessing the health condition of gearboxes. Accurate time series modeling of the …
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 …
structures is considered via unsupervised statistical time series type methods. For this …
An experimental study on the data-driven structural health monitoring of large wind turbine blades using a single accelerometer and actuator
D García, D Tcherniak - Mechanical Systems and Signal Processing, 2019 - Elsevier
The study aimed to investigate the performance of a Structural Health Monitoring (SHM)
methodology based on use of a single accelerometer and single actuator in the detection …
methodology based on use of a single accelerometer and single actuator in the detection …
Vibration-based experimental damage detection of a small-scale wind turbine blade
Y Ou, EN Chatzi, VK Dertimanis… - Structural Health …, 2017 - journals.sagepub.com
Structural health monitoring offers an attractive tool for condition assessment, fault prognosis
and life-cycle management of wind turbine components. However, owing to the intense …
and life-cycle management of wind turbine components. However, owing to the intense …