Fault detection and isolation system for boiler-turbine unit of a thermal power plant

Madrigal-Espinosa, G.; Osorio-Gordillo, G.-L.; Astorga‐Zaragoza, C.M.; Vázquez-Román, M.; Medina, Manuel Adam

doi:10.1016/j.epsr.2017.03.021

Cited by 18 publications

(13 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis of papers [12,13] revealed that the processing of information in ICS for STC in APCS at a power plant involves the following dynamic models:…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Model of thermophysical processes in the first circuit of steam generator [13] makes it possible to take into consideration time constants, deviations in steam pressure in a steam generator, flow rate of the heat carrier through a reactor, heat carrier temperature at the inlet and outlet of the steam generator and in the reactor's active zone.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Model of thermophysical processes in the second circuit of steam generator [13] makes it possible to take into consideration the following characteristics: flow rate of feed water, steam from a steam generator, steam for turbine; pressure in an evaporator; displacement of feed valves; pressure in a steam boiler; deviation in the steam pressure in a steam generator.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Model of dynamic processes in turbine [13] makes it possible to take into consideration and control the following parameters:…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Analysis of the above models [12,13] shows that they do not meet today's requirements to identify false information in real time.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 4 more Smart Citations

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory

Budanov

Brovko

Cherniuk

et al. 2018

EEJET

View full text Add to dashboard Cite

Papers [6, 7] demonstrate contemporary requirements to technical means and mathematical software for ICS for STC in APCS in terms of life cycle, reliability, safety, and failure-free operation considering the number of control points for technological parameters. One of the main criteria to ensuring high reliability of ICS for STC in APCS is the criterion of realization of the set of assigned algorithms and programs to process information for reliability in a real-time mode. Thus, to improve the reliability of operation of ICS for STC in APCS at a power plant under non-standard modes 4

show abstract

“…Analysis of papers [12,13] revealed that the processing of information in ICS for STC in APCS at a power plant involves the following dynamic models:…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Model of dynamic processes in turbine [13] makes it possible to take into consideration and control the following parameters:…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Analysis of the above models [12,13] shows that they do not meet today's requirements to identify false information in real time.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 3 more Smart Citations

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory

Budanov

Brovko

Cherniuk

et al. 2018

EEJET

View full text Add to dashboard Cite

show abstract

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

Jin,

Si,

Dong

et al. 2023

Can J Chem Eng

View full text Add to dashboard Cite

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 parameters in existing fault pre‐warning models, this study puts forth an incremental Gaussian mixture regression that leverages the merging of Gaussian components to reconstruct the model and enable online modelling. Due to its criticality, a forgetting factor is introduced during the merging process to efficiently manage the weight allocation between present and historical patterns, thereby guaranteeing the model's accuracy. The results of the sine function case demonstrate that the incremental Gaussian mixture regression (IGMR) model exhibits excellent pattern control performance and modelling efficiency. Furthermore, the IGMR model is employed to forecast parameter alterations in pulverizer blockages with mode switching, and experimental validation indicates that IGMR precisely anticipates parameter changes following mode switching. Compared to on‐site solutions, the pre‐warning of coal blockage has a clear advantage in advance warning.

show abstract

Distributed fault detection and isolation for power system

Liang

Liu

et al. 2021

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

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. First, in order to design the local residual generators, a bank of Luenberger observers are designed to estimate the local states of the system, and the parameters of each local residual generator are determined by solving the corresponding H ∞ optimization problem, which guarantees that the residual generator is sensitive to faults while robust to energy bounded disturbances. When the local residual exceeds the corresponding threshold, the occurrence of a fault in each agent is recognized. Then, for the case that power system with both process noises and measurement noises, the specific fault detection thresholds are designed with the aid of the Chebyshev inequality. Finally, the effectiveness of the proposed scheme is validated via illustrative example.

show abstract

Fault detection and isolation system for boiler-turbine unit of a thermal power plant

Cited by 18 publications

References 7 publications

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory

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

Distributed fault detection and isolation for power system

Contact Info

Product

Resources

About

Fault detection and isolation system for boiler-turbine unit of a thermal power plant

Cited by 18 publications

References 7 publications

Improving the reliability of information­control systems at power generation facilities based on the fractal­cluster theory

Improving the reliability of information­control systems at power generation facilities based on the fractal­cluster theory

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

Distributed fault detection and isolation for power system

Contact Info

Product

Resources

About

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory

Improving the reliability of informationcontrol systems at power generation facilities based on the fractalcluster theory