Challenges and opportunities of deep learning models for machinery fault detection and diagnosis: A review

SR Saufi, ZAB Ahmad, MS Leong, MH Lim - Ieee Access, 2019 - ieeexplore.ieee.org
In the age of industry 4.0, deep learning has attracted increasing interest for various
research applications. In recent years, deep learning models have been extensively …

A review of NDT/structural health monitoring techniques for hot gas components in gas turbines

F Mevissen, M Meo - Sensors, 2019 - mdpi.com
The need for non-destructive testing/structural health monitoring (SHM) is becoming
increasingly important for gas turbine manufacturers. Incipient cracks have to be detected …

Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling

MB Rahmoune, A Hafaifa, A Kouzou, XQ Chen… - … and Computers in …, 2021 - Elsevier
The main purpose of the present work is to propose an effective tool which allows to ensure
the protection and the safety measures against the instability phenomena in a gas turbine …

Vibration signal analysis using parameterized time–frequency method for features extraction of varying-speed rotary machinery

Y Yang, XJ Dong, ZK Peng, WM Zhang… - Journal of Sound and …, 2015 - Elsevier
In real application, when rotary machinery frequently involves variable-speed, unsteady load
and defect, it will produce non-stationary vibration signal. Such signal can be characterized …

Gas turbine blade fracturing fault diagnosis based on broadband casing vibration

K Feng, Y Xiao, Z Li, Z Jiang, F Gu - Measurement, 2023 - Elsevier
Blade fault is a catastrophic failure of gas turbines. In order to improve the reliability of blade
during operation, condition monitoring is one of the effective methods. However, there …

A stochastic hybrid blade tip timing approach for the identification and classification of turbomachine blade damage

RG Du Toit, DH Diamond, PS Heyns - Mechanical Systems and Signal …, 2019 - Elsevier
Abstract Blade Tip Timing (BTT) has been in existence for many decades as an attractive
vibration based condition monitoring technique for turbomachine blades. The technique is …

Research progress on vibration monitoring and fault diagnosis for aero-engine

HU Minghui, GAO Jinji, Z JIANG, W Weimin… - Acta Aeronautica et …, 2024 - sciopen.com
Aeroengine amalgamates state-of-the-art technologies across diverse domains, serving as a
comprehensive manifestation of a nation's prowess in science and industry. Frequent …

Rotating blade vibration analysis using photogrammetry and tracking laser Doppler vibrometry

B Gwashavanhu, AJ Oberholster, PS Heyns - Mechanical Systems and …, 2016 - Elsevier
Online structural dynamic analysis of turbomachinery blades is conventionally done using
contact techniques such as strain gauges for the collection of data. To transfer the captured …

[HTML][HTML] Prediction of flutter effects on transient flow structure and aeroelasticity of low-pressure turbine cascade using direct numerical simulations

SW Naung, ME Nakhchi, M Rahmati - Aerospace Science and Technology, 2021 - Elsevier
The aerodynamic characteristics of advanced low-pressure turbines could be affected by the
interaction between the transitional and turbulent flow and the dynamic behaviour of the …

An experimentally validated modal model simulator for the assessment of different Blade Tip Timing algorithms

ME Mohamed, P Bonello, P Russhard - Mechanical Systems and Signal …, 2020 - Elsevier
Abstract Blade Tip Timing (BTT) technology is concerned with the estimation of
turbomachinery blade vibration. A BTT system comprises two parts:(a) measurement system …