Nonlinear robust fault diagnosis of power plant gas turbine using Monte Carlo-based adaptive threshold approach

S Amirkhani, A Chaibakhsh, A Ghaffari - ISA transactions, 2020 - Elsevier
This paper addresses the robust fault diagnosis of power plant gas turbine as an uncertain
nonlinear system using a new adaptive threshold method. In order to determine the bounds …

Mechanism model-based and data-driven approach for the diagnosis of solid oxide fuel cell stack leakage

Y Xu, X Wu, X Zhong, D Zhao, M Sorrentino, J Jiang… - Applied Energy, 2021 - Elsevier
Safety and reliability are key objectives for the efficient operation of solid oxide fuel cell
(SOFC) power generation systems. Out of many possible faults, the gas leakage of SOFC …

Soft sensor for an orifice flowmeter in presence of disturbances

S Vemulapalli, SK Venkata - Flow Measurement and Instrumentation, 2022 - Elsevier
Measurements using an orifice flowmeter are widely used in industry. In certain instances,
the output of the flowmeter may be corrupted due to plate contamination, changes in fluid …

Distributed fault detection and isolation for power system

L Liang, S Liu, Y Li, M Zhong… - International Journal of …, 2022 - Wiley Online Library
In this article, a novel distributed fault detection and isolation method is proposed for large‐
scale power system affected by additive type of faults and energy bounded disturbances …

A systematic decomposition approach of nonlinear systems by combining gap metric and stability margin

M Ahmadi, M Haeri - … of the Institute of Measurement and …, 2021 - journals.sagepub.com
In this paper, in order to control a nonlinear dynamic system via multi-model controller, we
propose a systematic approach to determine the nominal local linear models. These models …

A normalized Haar wavelet transformation based firefly optimization algorithm for power transmission line fault detection problems

I Murugesan, P Gunasekaran… - Energy Sources, Part …, 2023 - Taylor & Francis
Through transmission lines (TLs), an electric power transmission system has been able to
transmit power from generating stations to consumers. During transmission, various kinds of …

基于XGBoost 算法的汽轮机转子故障原因定位方法

王新伟, 钱虹, 冷述文, 杨宝清 - 动力工程学报, 2021 - epjournal.csee.org.cn
提出了基于XGBoost 算法的汽轮机转子故障原因定位方法, 首先对由故障类型和相关参数组成
的原始样本集进行特征分析, 评估各特征的重要度, 然后利用XGBoost 算法构建汽轮机转子故障 …

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 …

Actuator fault compensation based on a takagi-sugeno pi observer: Application to a thermoelectric steam generator

J Reyes-Martínez, CM Astorga-Zaragoza… - International Journal of …, 2022 - Springer
In this paper, a fault-tolerant control scheme is presented for a boiler-turbine unit of a thermal
power plant covering a wide range of operations: at low, medium, and high loads. The …

Data‐driven modelling for online fault pre‐warning in thermal power plant using incremental Gaussian mixture regression

S Jin, F Si, Y Dong, S Ren - The Canadian Journal of Chemical …, 2024 - Wiley Online Library
This study introduces a data‐driven model for online fault pre‐warning in thermal power
plants using incremental Gaussian mixture regression. To tackle the issue of outdated …