Advanced gas-path fault diagnostics for stationary gas turbines [PDF]
, 2003 The reliabilities of the gas-path components (compressor, burners and turbines) of a gas turbine (GT) are usually high when compared with those of other GT systems such as fuel supply and control.
Ogaji, Stephen O. T.
core +7 more sources
Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]
, 2014 Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou +6 more
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Vibration-Based Diagnostics of Rolling Element Bearings Using the Independent Component Analysis (ICA) Method [PDF]
SensorsThis manuscript presents a study on the application of blind source separation (BSS) techniques, specifically the Independent Component Analysis (ICA) method, for the detection and identification of localized faults in rolling element bearings.
Dariusz Mika +2 more
doaj +2 more sources
Integrated Approach to Diagnostics of Failures and Cyber-Attacks in Industrial Control Systems
Energies, 2022 This paper is concerned with the issue of the diagnostics of process faults and the detection of cyber-attacks in industrial control systems. This problem is of significant importance to energy production and distribution, which, being part of critical ...
Michał Syfert +5 more
doaj +1 more source
Online Forecasting and Anomaly Detection Based on the ARIMA Model
Applied Sciences, 2021 Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
Viacheslav Kozitsin +2 more
doaj +1 more source
A Desk-top tutorial Demonstration of Model-based Fault Detection and Diagnosis [PDF]
, 2007 In this paper, a demonstration on the model-based approach for fault detection has been presented. The aim of this demo is to provide students a desk-top tool to start learning model-based approach.
Gu, Fengshou +3 more
core +4 more sources
Chinese Journal of Mechanical Engineering, 2021 Supervised fault diagnosis typically assumes that all the types of machinery failures are known. However, in practice unknown types of defect, i.e., novelties, may occur, whose detection is a challenging task.
Zhe Yang +5 more
doaj +1 more source
Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks
Machines, 2021 The rapid advancement of machine-learning techniques has played a significant role in the evolution of engine health management technology. In the last decade, deep-learning methods have received a great deal of attention in many application domains ...
Amare Desalegn Fentaye +2 more
doaj +1 more source
HIERARCHICAL DIAGNOSTIC MODEL SYNTHESIS FOR DATAFLOW REAL-TIME COMPUTING SYSTEM [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. The paper considers design issues for diagnostic tools of fault detection in addressing information exchanges between software modules for real-time dataflow computing systems.
Egor V. Lukoyanov +1 more
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Fault mode detection of a hybrid electric vehicle by using support vector machine
Energy Reports, 2023 Hybrid electric vehicle (HEV) is one of the ideal transportation tools to face the challenge of ‘Carbon peak carbon neutralization’. The high complexity of the latest HEVs result to the difficulties in vehicle fault diagnostics, which is considered to be
Fanshuo Liu +4 more
doaj +1 more source