Residual-hypergraph convolution network: A model-based and data-driven integrated approach for fault diagnosis in complex equipment
Timely and accurate fault diagnosis plays a critical role in today's smart manufacturing
practices, saving invaluable time and expenditure on maintenance process. To date …
practices, saving invaluable time and expenditure on maintenance process. To date …
Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence
This work is based on a literature review (191). It mainly refers to two diagnostic methods
based on artificial intelligence. This review presents new possibilities for using genetic …
based on artificial intelligence. This review presents new possibilities for using genetic …
[HTML][HTML] A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines
Predictive health monitoring of micro gas turbines can significantly increase the availability
and reduce the operating and maintenance costs. Methods for predictive health monitoring …
and reduce the operating and maintenance costs. Methods for predictive health monitoring …
A Comprehensive Literature Review on the Resolution of Turbine Engine Performances' Inverse Problems
DQ Vu, S Razakarivony… - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
Turbine engine monitoring is a well-known and well-studied subject that proves to be
essential for the aeronautic industry. A popular approach in engine monitoring is …
essential for the aeronautic industry. A popular approach in engine monitoring is …
Design, implementation and evaluation of an expert system for operating regime detection in industrial gas turbine
Operating regime detection plays a pivotal role not only in modeling and control, but also in
performance monitoring of gas turbines. In this paper, an expert system is designed and …
performance monitoring of gas turbines. In this paper, an expert system is designed and …
Fault detection and isolation of gas turbine: Hierarchical classification and confidence rate computation
In this paper, a Fault Detection and Isolation (FDI) system based on an ensemble-based
hierarchical classifier is devised to detect and isolate twelve typical turbine faulty scenarios …
hierarchical classifier is devised to detect and isolate twelve typical turbine faulty scenarios …
Simultaneous fault diagnostics for three-shaft industrial gas turbine
The study focused on the development of-gas turbine full-and part-load operation
diagnostics. The gas turbine performance model was developed using commercial software …
diagnostics. The gas turbine performance model was developed using commercial software …
A systematic graph-based methodology for cognitive predictive maintenance of complex engineering equipment
L Xia - 2024 - theses.lib.polyu.edu.hk
Maintenance is a vital aspect of ensuring the reliability, availability, and safety of machinery
and systems. Traditional maintenance approaches, such as corrective and preventive …
and systems. Traditional maintenance approaches, such as corrective and preventive …
An intelligent data filtering and fault detection method for gas turbine engines
AD Fentaye, KG Kyprianidis - MATEC Web of Conferences, 2020 - matec-conferences.org
In a gas turbine fault diagnostics, the removal of measurement noise and data outliers prior
to the fault analysis is very essential. The conventional filtering methods, particularly the …
to the fault analysis is very essential. The conventional filtering methods, particularly the …
A Comprehensive Literature Review on the Resolution of Turbine Engine Performances' Inverse Problems
S Razakarivony, Y Marnissi… - … of Engineering for …, 2025 - asmedigitalcollection.asme.org
Turbine engine monitoring is a well-known and well-studied subject that proves to be
essential for the aeronautic industry. A popular approach in engine monitoring is …
essential for the aeronautic industry. A popular approach in engine monitoring is …