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

2017 ◽  
Vol 148 ◽  
pp. 237-244 ◽  
Author(s):  
G. Madrigal-Espinosa ◽  
G.-L. Osorio-Gordillo ◽  
C.-M. Astorga-Zaragoza ◽  
M. Vázquez-Román ◽  
M. Adam-Medina
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Turbine Unit ◽  
Thermal Power ◽  
Fault Detection And Isolation ◽  
Isolation System

Sensor fault detection and isolation in a thermal power plant steam separator

2013 ◽  
Vol 21 (7) ◽  
pp. 908-916 ◽  
Author(s):  
Nasar Aldian Ambark Shashoa ◽  
Goran Kvaščev ◽  
Aleksandra Marjanović ◽  
Željko Djurović
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Fault Detection And Isolation ◽  
Sensor Fault ◽  
Sensor Fault Detection ◽  
Steam Separator

Fault Detection and Isolation of Thermal Power Plant using Auto-associative Kernel Regression

2018 ◽  
Vol 28 (5) ◽  
pp. 429-435
Author(s):  
Minseok Kim ◽  
Seunghwan Jung ◽  
BaekCheon Kim ◽  
Jaeyel Jang ◽  
Jaeyenog Yoo ◽  
...  
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Kernel Regression ◽  
Fault Detection And Isolation

Using SVM based method for equipment fault detection in a thermal power plant

2011 ◽  
Vol 62 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Kai-Ying Chen ◽  
Long-Sheng Chen ◽  
Mu-Chen Chen ◽  
Chia-Lung Lee
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Thermal Power

scholarly journals SYNTHESIS OF INTELLECTUAL SUBSYSTEMS OF DYNAMIC DIAGNOSIS OF THE CONDITION OF TURBINE UNITS THERMAL POWER

2017 ◽  
Vol 7 (2) ◽  
pp. 40-43
Author(s):  
Alibek Suleimenov ◽  
Batyrbek Suleimenov ◽  
Oxana Zhirnova ◽  
Aituar Suleimenov
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Turbine Unit ◽  
Early Stage ◽  
Thermal Power ◽  
Rapid Assessment ◽  
Technical Condition ◽  
Technical State ◽  
Diagnostic Features ◽  
Dynamic Diagnosis

Technique of creating a sub-line diagnostics status turbine unit thermal power plant based on an analysis of its diagnostic features. Rapid assessment of the technical state of turbine unit allows an early stage to detect the possibility of an emergency and to localize it. It involves the integration of the subsystems of the existing process control system (PCS), which will allow more efficient use of its information, hardware and software. Evaluation of the technical condition of the turbine unit thermal power plant is proposed to determine the use of modern intelligent technologies. The proposed method was used in the development of rapid diagnostic subsystems technical state of turbine of thermal power in Almaty.

scholarly journals A Clustering-Based Fault Detection Method for Steam Boiler Tube in Thermal Power Plant

2016 ◽  
Vol 11 (4) ◽  
pp. 848-859 ◽  
Author(s):  
Jungwon Yu ◽  
Jaeyel Jang ◽  
Jaeyeong Yoo ◽  
June Ho Park ◽  
Sungshin Kim
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Thermal Power Plant ◽  
Detection Method ◽  
Thermal Power ◽  
Steam Boiler ◽  
Boiler Tube
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