Wind turbines robust fault reconstruction using adaptive sliding mode observer

A Taherkhani, F Bayat - IET Generation, Transmission & …, 2019 - Wiley Online Library
This study addresses the problem of reliable power generation in wind turbines subject to
actuator and sensor faults in the presence of disturbances and uncertainties. For this …

Multi-fault diagnosis scheme based on robust nonlinear observer with application to rolling mill main drive system

R Zhang, Z Li - Transactions of the Institute of Measurement …, 2023 - journals.sagepub.com
A fault diagnosis solution is proposed in this article for the uncertainty and external
disturbance problems in the main drive system of a rolling mill based on analytical …

Robust in-flight sensor fault diagnostics for aircraft engine based on sliding mode observers

X Chang, J Huang, F Lu - Sensors, 2017 - mdpi.com
For a sensor fault diagnostic system of aircraft engines, the health performance degradation
is an inevitable interference that cannot be neglected. To address this issue, this paper …

Sensor fault diagnosis of gas turbine engines using an integrated scheme based on improved least squares support vector regression

Y Hu, J Zhu, Z Sun, L Gao - Proceedings of the Institution of …, 2020 - journals.sagepub.com
As the flight envelope is widening continuously and operational capability is improving
sequentially, gas turbine engines are faced with new challenges of increased operation and …

Model-based sensor fault detection, isolation and tolerant control for a mine hoist

X Chen, ZC Zhu, TB Ma, G Shen - Measurement and Control, 2022 - journals.sagepub.com
Encoder is essential for speed control and very valuable in condition monitoring for a mine
hoist and the failure in sensor measurements can lead to serious accidents. In this paper, a …

Development and validation of a general and robust methodology for the detection and classification of gas turbine sensor faults

L Manservigi, M Venturini… - … for Gas Turbines …, 2020 - asmedigitalcollection.asme.org
Sensor fault detection and classification is a key challenge for machine monitoring and
diagnostics, since raw data cleaning represents a key process in the gas turbine industry. To …

[HTML][HTML] Combinatorial reasoning-based abnormal sensor recognition method for subsea production control system

R Zhang, BP Cai, C Yang, YM Zhou, YH Liu, XY Qi - Petroleum Science, 2024 - Elsevier
The subsea production system is a vital equipment for offshore oil and gas production. The
control system is one of the most important parts of it. Collecting and processing the signals …

Gas turbine modeling using adaptive fuzzy neural network approach based on measured data classification

A Benyounes, A Hafaifa, A Kouzou… - Mathematics-in-Industry …, 2017 - Springer
The use of gas turbines is widespread in several industries such as; hydrocarbons,
aerospace, power generation. However, despite to their many advantages, they are subject …

Fault detection and isolation of gas turbine engine using inversion-based and optimal state observers

H Kazemi, A Yazdizadeh - European Journal of Control, 2020 - Elsevier
This paper aims to design, develop and compare fault detection and isolation (FDI) schemes
including inversion-based fault reconstruction and optimal state observers for a class of …

An enhanced aircraft engine gas path diagnostic method based on upper and lower singleton type-2 fuzzy logic system

PHS Calderano, MGC Ribeiro, RPF Amaral… - Journal of the Brazilian …, 2019 - Springer
The gas turbine is the most common engine used in the majority of commercial aircraft.
Regarding the economic and social importance of aviation, methods that can identify faults …